.. author: Yannick Dayer .. date: Mon 09 May 2022 13:48:48 UTC+02 .. _bob.bio.spear.leaderboard.voxforge: ================== VoxForge Dataset ================== Dataset Description ------------------- VoxForge is a collection of voice recordings from various languages. The set that we use in ``bob.bio.spear`` is a part of the English VoxForge corpus. It contains: +--------------------+------------+--------------+ | | Identities | Sample count | +--------------------+------------+--------------+ | train | 10 | 3148 | +-------+------------+------------+--------------+ | | references | | 1304 | | +------------+ +--------------+ | dev | probes | 10 | 300 | +-------+------------+------------+--------------+ | | references | | 1509 | | +------------+ +--------------+ | eval | probes | 10 | 300 | +-------+------------+------------+--------------+ GMM --- To run the baseline, use the following command:: $ bob bio pipeline simple -d voxforge -p gmm-voxforge -g dev -g eval -l sge -o results/gmm_voxforge Then, to generate the scores, use:: $ bob bio metrics -e ./results/gmm_voxforge/scores-{dev,eval}.csv .. table:: [Min. criterion: EER] Threshold on Development set: 2.128360e+00 ===================== ============== ============== .. Development Evaluation ===================== ============== ============== Failure to Acquire 0.0% 0.0% False Match Rate 2.0% (54/2700) 1.8% (48/2700) False Non Match Rate 2.0% (6/300) 1.3% (4/300) False Accept Rate 2.0% 1.8% False Reject Rate 2.0% 1.3% Half Total Error Rate 2.0% 1.6% ===================== ============== ============== On 128\ [#nodes]_ CPU nodes on the SGE Grid: Ran in 13 minutes (5 minutes of training). ISV --- To run the baseline, use the following command:: $ bob bio pipeline simple -d voxforge -p isv-voxforge -g dev -g eval -l sge -o results/isv_voxforge Then, to generate the scores, use:: $ bob bio metrics -e ./results/isv_voxforge/scores-{dev,eval}.csv .. table:: [Min. criterion: EER] Threshold on Development: 1.680925e+00 ===================== ============== ============== .. Development Evaluation ===================== ============== ============== Failure to Acquire 0.0% 0.0% False Match Rate 1.3% (36/2700) 0.7% (20/2700) False Non Match Rate 1.3% (4/300) 2.7% (8/300) False Accept Rate 1.3% 0.7% False Reject Rate 1.3% 2.7% Half Total Error Rate 1.3% 1.7% ===================== ============== ============== On 128\ [#nodes]_ CPU nodes on the SGE Grid: Ran in 13 minutes (7 minutes of training). Speechbrain ECAPA-TDNN ---------------------- To run the baseline, use the following command:: $ bob bio pipeline simple -d voxforge -p speechbrain-ecapa-voxceleb -g dev -g eval -l sge -o results/speechbrain_voxforge Then, to generate the scores, use:: $ bob bio metrics -e ./results/speechbrain_voxforge/scores-{dev,eval}.csv .. table:: [Min. criterion: EER] Threshold on Development set: -6.159925e-01 ===================== ============= ============== .. Development Evaluation ===================== ============= ============== Failure to Acquire 0.0% 0.0% False Match Rate 0.0% (0/2700) 0.8% (21/2700) False Non Match Rate 0.0% (0/300) 0.0% (0/300) False Accept Rate 0.0% 0.8% False Reject Rate 0.0% 0.0% Half Total Error Rate 0.0% 0.4% ===================== ============= ============== On 128\ [#nodes]_ CPU nodes on the SGE Grid: Ran in 9 minutes (no training). .. rubric:: Footnotes .. [#nodes] The number of nodes is a requested maximum amount and can vary depending on the number of jobs currently running on the grid as well as the scheduler's load estimation. The execution time can then also vary. .. include:: ../links.rst