Idiap has a successful track record of dissemination of data and software that are widely adopted, and has a longstanding tradition of delivering research outcomes through open-source licenses and making frameworks accessible to others. This commitment extends beyond mere software contributions. Idiap actively participates in numerous projects, ranging from small-scale initiatives to high-profile endeavors. To facilitate the sharing of improvements made by Idiap's researchers with the wider community, the institute has entered into various corporate contributor license agreements (CLA) or equivalent arrangements with The Qt Company, The Python Project, The Cloud Native Computing Foundation, The Cloud Foundry Foundation, and Google. Thanks to these CLAs, Idiap employees are able to contribute to large-scale open-source projects.

Idiap creates and makes available a significant number of professional software. Over the past five years, Idiap has filed 206 software disclosures, which enabled the distribution of 122 open source software packages and granted 84 commercial licenses on patents and software.

Examples of software packages created by Idiap are Fast Transformers, PyDHN, Kaldi and Bob. The Github project Fast Transformers, which has over 1400 stars and over 160 forks, was used in Muzic, a Microsoft project for music understanding and generation. The open-source package PyDHN for the physics-based simulation of district heating networks, computes pressure, temperature, and mass flow within the pipework knowing only the boundary conditions at the central(s) and sub-stations; it is included in open-source GIS tools for a wider impact on society. The Kaldi open source tool for speech modeling, which is considered one of the main technologies in the community for research and innovation, received 6781 citations. Bob, a set of open-source tools to promote reproducible research, has 25 releases, over 100 satellite repositories and over 5000 commits for the core repository.

Idiap contributes to the research community open-source software as listed below. If you have questions about a specific software, please use our contact form.


aberration_correction Sorting and scanning aberration correction of periodic image time-series.
abroad-re Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach
acoustic-simulator Implementation of audio degradation processes.
act ACT for Accuracy of Connective Translation is a reference-based metric to measure the accuracy of discourse connective translation, mainly for statistical machine translation systems.
als-classification Classification of ALS and Stress in Cultures of Motor Neurons.
analogy_learning Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance
Anonymization Text anonymization is a Python library for anonymizing sensitive information in text data. Focused on Swiss French banking data.
APT The APT software is a reference-based metric to evaluate the accuracy of pronoun translation.
asrt A python library that facilitate the extraction of text sentences from multilingual 'pdf' documents
atco2-corpus A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
Attentive_Residual_Connections_NMT Implementation and output data of "Global-Context Neural Machine Translation through Target-Side Attentive Residual Connections"
attention-sampling Python library to accelerate the training and inference of neural networks on large data. This code is the reference implementation of the methods described in our ICML 2019 publication "Processing Megapixel Images with Deep Attention-Sampling Models".
bayesian-peft Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting
bayesian-recurrence A Bayesian Interpretation of Recurrence in Neural Networks
beat.accumos.exporter This module implements a tool that will generate Acumos compatible Docker images from simple BEAT algorithms (sequential, without setup nor prepare).
BEAT platform The BEAT platform is a European computing e-infrastructure for Open Science proposing a solution for open access, scientific information sharing and re-use including data and source code while protecting privacy and confidentiality. It allows easy online access to experimentation and testing in computational science.
benefits-of-max-pooling This folder contains the supplementary material for the paper 'Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence' TMLR 2023
bert-text-diarization-atc BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications
bioformats_io Takes as input NPY files and saves them to OME or OME-TIFF, and conversely, takes as input microscopy-format files and saves them as NPY.
BOB Bob is a free signal-processing and machine learning toolbox developed by the Biometrics group at Idiap Research Institute, Switzerland. The toolbox is written in a mix of Python and C++ and is designed to be both efficient and reduce development time. Implements speaker recognition algorithms. Vein biometrics recognition baselines.
bob.ip.binseg Binary Segmentation Benchmark Package for Bob.
bob.ip.qualitymeasure This package is part of the signal-processing and machine learning toolbox Bob. It provides functions for extracting image-quality features proposed for PAD experiments by different research groups. Image quality measures proposed by Galbally et al. (IEEE TIP 2014) and by Wen et al. (IEEE TIFS 2015) are implemented in this package.

Active Tuberculosis Detection On CXR Package for Bob


This package is part of the signal-processing and machine learning toolbox Bob.
This package contains source code to replicate the experimental results published in the following paper:

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

bob.paper.eusipco2018 Speaker Inconsistency Detection in Tampered Video. Source code for reproducing the speaker inconsistency detection experiments of the paper "Speaker Inconsistency Detection in Tampered Video" in EUSIPCO 2018 conference.
bob.paper.icassp2020_domain_guided_pruning Code to reproduce "Domain Adaptation for Generalization of Face presentation Attack Detection in Mobile Settings with Minimal Information" ICASSP 2020 paper.
bob.paper.icassp2020_facepad_generalization_infovae Code to reproduce "Improving Cross-dataset Performance Of Face Presentation Attack Detection Systems Using Face Recognition Datasets" ICASSP 2020 paper.
bob.paper.icassp2022_morph_generate Source code for generating the morphs described in the ICASSP 2022 paper 'Are GAN-based Morphs Threatening Face Recognition?'.
bob.paper.icassp2024_diu_hfr Heterogeneous Face Recognition Using Domain Invariant Units
bob.paper.icassp2024_face_ti_partial Face Reconstruction from Partially Leaked Facial Embeddings
bob.paper.iccv2023_face_ti Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction
bob.paper.icip2022_face_reconstruction Face Reconstruction from Deep Facial Embeddings using a Convolutional Neural Network
bob.paper.ijcb2023_caim_hfr Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation
bob.paper.ijcb2023_vuln_analysis_hyg_mask_attack This package is part of the signal-processing and machine learning toolbox Bob.
bob.paper.makeup_aim This package contains python code to reproduce experiments and results described in the IEEE T-BIOM paper: "Detection of Age-Induced Makeup Attacks on Face Recognition Systems Using Multi-Layer Deep Features"
bob.paper.mcae.icb2019 Face PAD using multi-channel autoencoders.
bob.paper.mccnn.tifs2018 Face PAD using Multi-Channel CNN.
bob.paper.neurips2023_face_ti Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network
bob.paper.nir_patch_pooling This package contains python code to reproduce experiments and results described in the IEEE ICIP paper: "CNN Patch Pooling for Detecting 3D Mask Presentation Attacks in NIR".
bob.paper.tbiom2021_protect_vascular_dnn_biohash Code to reproduce the results for the paper "Towards Protecting and Enhancing Vascular Biometric Recognition methods via Biohashing and Deep Neural Networks" in IEEE-TBIOM.
bob.paper.tpami2023_face_TI Comprehensive Vulnerability Evaluation of Face Recognition Systems to Template Inversion Attacks via 3D Face Reconstruction
bob.paper.wacv2024_dvpba Mitigating Demographic Bias in Face Recognition via Regularized Score Calibration
bob.paper.wifs2021_biohashing_sota_face On the Recognition Performance of BioHashing on state-of-the-art Face Recognition models
bob.paper.xcsmad_facepad Face PAD for Silicone mask-based attack detection.
bob.rppg.base This package provides three baseline algorithms to perform remote photoplethysmography (rPPG), which consists in measuring the heart rate from a face video sequence. The software package implements three different algorithms to retrieve the pulse signal from skin color variations: an approach based on colorspace transformation, another approach solely based on signal processing, and a more recent approach, which analyzes the subspace spanned by skin-colored pixels in the RGB colorspace.
buslr Build System for Speech and Language Research.
CBI-MMTools This repository contains plugins, device adapters and libraries for the operation of microscopy platforms using Micro-Manager, developed by the Computational BioImaging group at Idiap Research Institute.
cbi_toolbox CBI Toolbox is a collection of algorithms used for computational bioimaging and microscopy.
cncsharedtask IDIAPERS @ CASE22-TASK 3: Event Causality Identification
CNN-based Models CNN-based Models for ALS and stressed MNs cultures classification.
CNN_QbE_STD Implementation of the work presented in "CNN based Query by Example Spoken Term Detection".
CNN-voice-PAD The purpose of this software is to train Convolutional Neural Networks on raw speech signals in order to detect voice presentation attacks.
cbrec Content-Based Recommendation Generator (CBRec v1.0). A Python library which generates content-based recommendations for a set of items described by textual metadata using four possible vector space methods, namely TF-IDF, LSI, RP and LDA.
code.group_membership_verification Group Membership Verification via Nonlinear Sparsifying Transform Learning
contextual-biasing-on-gpus The implementation of the contextual biasing for ASR decoding on GPUs without lattice generation
symfony-bundle-datacryptographer The Data Cryptographer Bundle is a PHP/Symfony bundle which provides a cryptographer resource/service for common cryptographic operations.
deepdefresneling Deep Learning Methods for Digital Holography in an Embedded System
DeepFocus Code for the PyTorch implementation of "DeepFocus: a Few-Shot Microscope Slide Auto-Focus using a Sample Invariant CNN-based Sharpness Function".

A Deep Learning Optimizer Benchmark Suite.

depth_human_synthesis DepthHuman: A tool for depth image synthesis for human pose estimation
DepthInSpace [ICCV 2021] DepthInSpace: Exploitation and Fusion of Multiple Frames of a Video for Structured-Light Depth Estimation
DHgeN  is a Python module for generating District Heating Networks layouts.
DiscoConn-Classifier Classifier models and feature extractors for discourse relations.
distance-based-cnn Automatic Dysarthric Speech Detection Exploiting Pairwise Distance-based Convolutional Neural Networks
DRILL Deep residual output layers for neural language generation.
DocRec KEYWORD EXTRACTION AND DOCUMENT RECOMMENDATION IN CONVERSATIONS (DocRec). The package contains several pieces of Matlab code. Taken together, they extract keywords from a conversation, then use them to build implicit queries, and then consolidate the sets of retrieved documents to recommend to the conversation participants.
eakmeans Implementation of fast exact k-means algorithms.
Eigenposterior Eigenposterior (Senone Class Principal Components) based approach for purifying DNN posterior estimates.
emorec Emotion-Based Recommendation Generator (EMORec v1.0). A Python library which performs emotion-based analysis and recommendation using a multiple-instance regression algorithm for a set of multimedia items described by transcripts.
ergodic_sketching_ros This repository contains the source code to run the drozBot portraitist robot over ROS1. It contains 3 different packages: ergodic_sketching; ergodic_sketching_msgs; ergodic_sketching_ros; ilqr_planner.
ESLAM Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
Exact Acceleration of Linear Object Detectors We describe a general and exact method to considerably speed up linear object detection systems operating in a sliding, multi-scale window fashion, such as the individual part detectors of part-based models.
ExVo-2022 Extracting pre-trained self-supervised embeddings for ICML ExVO 2022 challenge
facecolormodel This page contains the source code and data needed to train and use a model for skin, hair, clothing and background color modelling and segmentation.
facereclib This library is designed to perform a fair comparison of face recognition algorithms. It contains scripts to execute various kinds of face recognition experiments on a variety of facial image databases.
fast_pose_machines Efficient Pose Machines for Multi-Person Pose Estimation.
FiniteStateTransducers.jl Play with Weighted Finite State Transducers (WFSTs) using the Julia language.
flowestimation Code for the PyTorch implementation of "Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning", submitted to IEEE ISBI, 2021
fluoMNs_models CNN-based Models for ALS and stressed MNs cultures classification.
fullgrad-saliency This code is the reference implementation of the methods described in our NeurIPS 2019 publication "Full-Gradient Representation for Neural Network Visualization.

This repository implements two methods: the reference FullGrad algorithm, and a variant called "simple FullGrad", which omits computation of bias parameters for bias-gradients.
gafar GaFaR: Geometry-aware Face Reconstruction
gafro Geometric Algebra For RObotics
gafro_benchmarks This repository contains benchmarks for the gafro library compared to other robot kinematics and dynamics libraries.
gafro_robot_descriptions This repository contains classes of different robot descriptions for the usage with the gafro library.
gafro_ros ROS visualization and URDF conversion for the gafro library
gafro_examples This repository contains some examples on how to use the gafro library
GC.MI The gc_MI.cpp file includes C++ code implementing the GC.MI algorithm.
GeoNeRF Generalizing NeRF with Geometry Priors
gme-sampler Greedy Maximum Entropy Sampler
HAN_NMT Document-Level Neural Machine Translation with Hierarchical Attention Networks.
HEAT Image Retrieval System HEAT is an image retrieval web-application that is intended for large unstructured collections of images without semantic annotations. The system implements a novel searching paradigm that does not require any explicit query. At each iteration, the system displays a small set of images and the user chooses the image that best matches what she is looking for. After a few iterations, the sets of displayed images are gradually concentrated on images that satisfy the user.



Temporal Super-Resolution Microscopy Using a Hue-Encoded Shutter.
g3e HG3D - A module for 3D head pose and gaze tracking from RGB-D sensors. This software contains the implementation of algorithms related to 3D head pose and gaze tracking tasks based on RGB-D cameras (standard vision and depth).
hallucination-detection This repository contains the code and data for the paper Unsupervised Token-level Hallucination Detection from Summary Generation By-products by Andreas Marfurt and James Henderson, presented at the GEM workshop at EMNLP 2022.
hourglass_push This repository contains Python code for the work presented in the IROS 2021 paper "An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning" by M. Ewerton, A. Martínez-González and JM. Odobez.
HOOSC Histogram of Orientation Shape Context.
HPCA hpca is a C++ toolkit providing an efficient implementation of the Hellinger PCA for computing word embeddings.
human-detection Background substraction and Human Detection.
HTS-VTLN This software is a patch to HMM based statistical parametric speech synthesis toolkit (HTS 2.2).
HyperMixing HyperMixing is a token-mixing techniques to be used as linear-time alternative to attention, for example in Transformer-like architecture like HyperMixer.
icassp2024.dvpf Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition
icassp-oov-recognition This has data and code related to the paper accepted at ICASSP21 "A comparison of methods for OOV-word recognition on a new Public Dataset".
idiap_spe Set of exercises on automatic speech processing.
IdiapTTS Idiap Text-to-Speech system developed at the Idiap Research Institute.
ihper (Idiap human perception system). An audio-visual system for human perception, human-robot interaction. This ROS-compatible system detects tracks faces, re-identifies people, detect speaking people, and non-verbal cues (nod, visual focus of attention).
importance-sampling This python package provides a library that accelerates the training of arbitrary neural networks created with Keras using importance sampling.
inference-from-real-world-sparse-measurements Inference from Real-World Sparse Measurements - MALAT
inv-tn Inverse Text Normalization using NMT models.
ISS The Idiap Speech Scripts (ISS) is a collection of speech databases and dictionaries, and for training and testing of models for ASR. The scripts in turn are reliant on many other packages including HTK/HTS, Juicer and the ICSI speech tools.
joint-embedding-nmt Pytorch implementation of the structure-aware output layer for neural machine translation which was presented at WMT 2018.
kaldi-ivector The code is an implementation of the standard i-vector extraction algorithm for the Kaldi toolkit.
KiSC K.I.S.S. Cluster (KiSC) - with K.I.S.S. as in "Keep It Stupid Simple" - is a utility that aims to simplify the life of administrators managing resources accross a cluster of hosts.
libssp Library for speech signal processing.
fast-transformers This library aims to facilitate research on efficient transformer models and provides PyTorch implementations for several efficient transformers.
language-label-bias This repository contains the code for our paper "Understanding the effects of language-specific class-imbalance in multilingual fine-tuning".
LR-CNN Trains low-rank CNNs from raw speech using Keras/Tensorflow, with inputs from Kaldi directories.
mash Back-end of the MASH computation farm.
mash-simulator mash-simulator is a 3D simulator for Linux and MacOS where a robot must complete a certain number of tasks in different randomized environments.
mash-web Front-end of the MASH computation farm.
ML3 ML3 is an open source implementation of the Multiclass Latent Locally Linear Support Vector Machine algorithm, a multi-class local classifier based on a latent SVM formulation.
mhan Multilingual hierarchical attention networks toolkit.
model-uncertainty-for-adaptation Code for paper Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021
MSER Linear time Maximally Stable Extremal Regions (MSER) implementation as described in D. Nistér and H. Stewénius, Linear Time Maximally Stable Extremal Regions".
multicamera-calibration This toolset provides the basics for calibrating a multi-camera scene. it contains six utilities for different purposes. In this README I will walk the user through the calibration of a multi camera scene using this toolset.
multimodal_gaze_target_prediction This repo provides the training and testing code for our paper "A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings" published at the GAZE workshop at CVPR 2022.
nnsslm Neural Network based Sound Source Localization Models.
Node_weighted_GCN_for_depression_detection Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews
NVIB Nonparametric Variational Information Bottleneck
nvib_transformers A VAE for transformers using Nonparametric Information bottleneck
pbdlib-matlab PbDlib is a set of tools combining statistical learning, dynamical systems and optimal control approaches for programming-by-demonstration applications.
pddetection-reps-learning Supervised Speech Representation Learning for Parkinson's Disease Classification
phonvoc Phonetic and phonological vocoding platform. Phonvoc is a cascaded deep neural network composed of speech analyser and synthesizer that use shared phonological speech representation.

This is a (yet another!) python wrapper for Kaldi. The main goal is to be able to train acoustic models in Pytorch so that we can

  • use MMI cost function during training
  • use NG-SGD for affine transformations, which enables multi-GPU training with SGE
potr Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers
ppsdf ppSDF
probamod-v1 Probabilistic Models: temporal topic models and more. Topic models such as Latent Dirichlet Allocation (LDA) have been used successfully in many domains for data mining. Originally designed for text documents, these methods find some hidden “topics” considering that each document is a weighted mixture of topics. Each topic expresses itself in a document by generating some specific words with more probability than others.
psfestimation Code for the PyTorch implementation of "Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy", IEEE Transactions on Image Processing, 2020.
pydhn PyDHN is a Python library for storing, visualizing and managing District Heating Network (DHN) data, running simulations and automate I/O workflow, built on top of Networkx.
pygafro Geometric Algebra For RObotics in Python
RawSpeechClassification Trains CNN (or any neural network based) classifiers from raw speech using Keras and tests them. The inputs are lists of wav files, where each file is labelled. It then creates fixed length signals and processes them. During testing, it computes scores at the utterance or speaker levels by averaging the corresponding frame-level scores from the fixed length signals.
rethinking-saliency Saliency Map Interpretability as Generative Modelling
Residual_pose Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation.
rgbd RGBD: A Python based RGB-D data processing module. This python module implements the streaming, calibration and visualization of RGB-D data, that is, combined color and depth images.
sae_lang_detect sae_lang_detect: Supervised Autoencoder for Language Detection. The Supervised Autoencoder (SAE) with Bayesian Optimization (BO) for the language detection task found effectively for discriminating between very close languages or dialects. This library contains the PyTorch implementation of SAE with one sample code for using it for the language detection task. The library can be used for other NLP classification tasks (e.g. Fake News Detection, Operant Motive Detection) easily. It supports both CPU and GPU versions with just turn on/off the GPU flag ("is_gpu = True or False").
semiblindpsfdeconv Semi-blind Spatially-Variant Deconvolution. Code for "Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolutional Neural Networks" ICIP 2018.
sentence-planner This is the code for the paper Sentence-level Planning for Especially Abstractive Summarization presented at the New Frontiers in Summarization workshop at EMNLP 2021.
sg_latent_modeling StyleGAN3 Latent Space Modeling
simple-imager Simple Imager (Linux Imaging and Deployment Made Easy) is a set of tools allowing an imaging server to retrieve a copy of Linux reference hosts (sources) and allowing those images to be deployed to other target hosts by the mean of RSync or BitTorrent files download.
sleepless Benchmarks for sleep phase detection from polysomnographs
slog Similarity Learning on Graph. SLOG contains implementation of similarity learning methods over relational data, where the relation between data points are given explicitly.
slu_representations Effectiveness of text, acoustic, and lattice-based representations in spoken language understanding tasks
SpArch Spiking Architectures for Speech Technology
IBDiarization Speaker Diarization Toolkit. The toolkit is intended to facilitate research in multistream speaker diarization providing a platform for research in novel audio, video or location features. It is based on the Information Bottleneck principle and is explicitely designed to use of several hetergenous feature streams.
ssl-caller-detection Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?
SSP SSP stands for Speech Signal Processing. It is a fairly small package written in python. Its functionality is similar to tracter, with some overlap and some additional capabilities. In particular, SSP contains a parametric vocoder, a pitch extractor and feature extraction for ASR.
symfony-bundle-datajukebox The Data Jukebox Bundle is a PHP/Symfony bundle which aims to provide - for common CRUD (Create-Read-Update-Delete) operations - the same level of abstraction that Symfony does for forms.
TactileErgodicExploration A Python package for ergodic control on point cloud using diffusion. It is supplementary material for the paper "Tactile Ergodic Control Using Diffusion and Geometric Algebra." The package uses Laplacian eigenbasis for computing the potential field resulting from the diffusion on the point cloud. Then, it uses the heat-equation-driven area coverage (HEDAC) method to guide the exploration agents for tactile ergodic control tasks. This research is conducted at the Robot Learning and Interaction group of the Idiap Research Institute.
Tasting Families of Features for Image Classification Please find below the code necessary to reproduce the experiments of the paper Tasting Families of Features for Image Classification "under the GPL v2 license."
tf_robot_learning Tensorflow robot learning library.
The Multi-Tracked Paths This is an implementation of the variant of KSP for tracking presented in (Berclaz et al. 2011). You can get more information and the reference implementation from the CVLab's web page about multi-camera tracking.
TIDIGITSRecipe.jl This repository contains a recipe for training an automatic speech recognition (ASR) system using the TIDIGITS database.
tnn TNN - Trajectory Nearest Neighbors. This code was developed as a part of the Innosuisse MALAT: Machine Learning for Air Traffic project, which is a partnership between SkySoft ATM and the Idiap Research Institute.
Torch Statistical machine learning library containing most of the state-of-the-art algorithms. Written in Lua and C, the library is distributed under a BSD license.
torgo_asr This is a Kaldi recipe to build automatic speech recognition systems on the Torgo corpus of dysarthric speech.
translation-aided-slu This it the reference code for the paper The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation.
trimed The trimed algorithm for obtaining the medoid of a set.
t-softmax t-softmax pytorch reproducibility code. The repository contains the code to reproduce the results of the paper: Niccolò Antonello, Philip N. Garner "A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers," IEEE Signal Processing Letters, 2020, to appear.
ttgo TTGO:Tensor Train for Global Optimization Problems in Robotics. A PyTorch implementation of TTGO algorithm and the applications presented in the paper "Tensor Train for Global Optimization Problems in Robotics "
unet.interspeech2019 U-NET based feature extractor for text-independent speaker verification.
unsupervised_gaze_calibration This code allows the robust and unsupervised calibration of a gaze estimator used in a conversation or an object manipulation setting. It relies on task-related contextual attention prior to gather calibration samples and on robust estimation to compute the calibration parameters.
w2v2-air-traffic How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications
warca WARCA is a simple and fast algorithm for metric learning.
wav2vec-lfmmi wav2vec-lfmmi provides recipes from fine-tuning a pre-trained wav2vec 2.0 model using the espresso tool kit.
Webvalidation This software is a multi users, multi projects web annotation tool that help to organize the process of validating automatically generated transcriptions.
wmil-sgd A weighted multiple-instance learning algorithm based on stochastic gradient descent.
xbob.thesis.elshafey2014 This package contains scripts to reproduce the experiments of Laurent El Shafey's Ph.D. thesis at Ecole Polytechnique Fédérale de Lausanne (EPFL).
zentas Software for doing k-medoids using an accelerated CLARANS algorithm.
zff_vad Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering

Obsoleted Software

Juicer Juicer is a Weighted Finite State Transducer (WFST) based decoder for Automatic Speech Recognition (ASR).
Tracter Tracter is a data flow framework.
Torch3vision Common softwagre library for computer vision with machine learning algorithms. Written in simple C++, this library is based on Torch and distributed under a BSD license.