# Speech Recognition on WSJ nov92 (test) Source: [Speech Recognition on WSJ nov92 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:08:26.564Z Evaluation of Speech Recognition performance on the test split of the Wall Street Journal 1992 (nov92) corpus, typically measured using Word Error Rate (WER) and Letter Error Rate (LER). A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Speech Recognition | | Dataset (including any stated split) | WSJ nov92 (test) | | Metric | WER | | Unit | PERCENT | | Direction | Lower is better | | Results loaded | 34 of 34 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [WER](): Lower is better; unit: PERCENT. - [LER](): Lower is better; unit: PERCENT. ## Recorded results | Method | WER | Result date | Report paper | | --- | --- | --- | --- | | Fast Conformer | 1.42 | Not recorded | 68fa70bd1e209131cea4cf97 | | Conformer | 1.47 | Not recorded | 68fa70bd1e209131cea4cf97 | | Fast Conformer | 1.59 | Not recorded | 68fa70bd1e209131cea4cf97 | | Conformer | 1.7 | Not recorded | 68fa70bd1e209131cea4cf97 | | vq-wav2vec Gumbel + BERT base | 2.34 | Not recorded | 68fa67041e209131cea13caa | | wav2vec large | 2.43 | Not recorded | 68fa66551e209131cea0f8cc | | wav2vec | 2.43 | Not recorded | 68fa67041e209131cea13caa | | Supervised transfer-learning | 2.53 | Not recorded | 68fa66551e209131cea0f8cc | | wav2vec large | 2.53 | Not recorded | 68fa66551e209131cea0f8cc | | Supervised transfer-learning | 2.53 | Not recorded | 68fa67041e209131cea13caa | | wav2vec | 2.78 | Not recorded | 68fa66551e209131cea0f8cc | | Lattice-free MMI | 2.8 | Not recorded | 68fa66551e209131cea0f8cc | | Lattice-free MMI | 2.8 | Not recorded | 68fa67041e209131cea13caa | | wav2vec | 2.87 | Not recorded | 68fa66551e209131cea0f8cc | | Deep Speech 2 | 3.1 | Not recorded | 68fa66551e209131cea0f8cc | | Deep Speech 2 | 3.1 | Not recorded | 68fa67041e209131cea13caa | | Log-mel filterbanks (Baseline) | 3.46 | Not recorded | 68fa66551e209131cea0f8cc | | Baseline (log-mel) | 3.46 | Not recorded | 68fa67041e209131cea13caa | | Trainable frontend | 3.5 | Not recorded | 68fa66551e209131cea0f8cc | | Trainable frontend | 3.5 | Not recorded | 68fa67041e209131cea13caa | | Log-mel filterbanks (Baseline) | 3.6 | Not recorded | 68fa66551e209131cea0f8cc | | vq-wav2vec Gumbel + BERT base | 3.62 | Not recorded | 68fa67041e209131cea13caa | | wav2vec large | 4.32 | Not recorded | 68fa66551e209131cea0f8cc | | wav2vec | 4.32 | Not recorded | 68fa67041e209131cea13caa | | wav2vec | 4.57 | Not recorded | 68fa66551e209131cea0f8cc | | wav2vec | 4.61 | Not recorded | 68fa66551e209131cea0f8cc | | wav2vec | 5.55 | Not recorded | 68fa66551e209131cea0f8cc | | Log-mel filterbanks (Baseline) | 5.64 | Not recorded | 68fa66551e209131cea0f8cc | | Baseline (log-mel) | 5.64 | Not recorded | 68fa67041e209131cea13caa | | vq-wav2vec Gumbel | 6.1 | Not recorded | 68fa67041e209131cea13caa | | vq-wav2vec Gumbel + BERT base | 9.39 | Not recorded | 68fa67041e209131cea13caa | | wav2vec | 11.2 | Not recorded | 68fa67041e209131cea13caa | | Baseline (log-mel) | 13.93 | Not recorded | 68fa67041e209131cea13caa | | vq-wav2vec Gumbel | 14.67 | Not recorded | 68fa67041e209131cea13caa | ### Fast Conformer WER: 1.42. Result ID: 699156843a6c314849076d1f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Decoder":"RNNT"}. This record does not assert independent reproduction. ### Conformer WER: 1.47. Result ID: 699156843a6c314849076d1e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Decoder":"RNNT"}. This record does not assert independent reproduction. ### Fast Conformer WER: 1.59. Result ID: 699156843a6c314849076d21. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Decoder":"CTC"}. This record does not assert independent reproduction. ### Conformer WER: 1.7. Result ID: 699156843a6c314849076d20. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Decoder":"CTC"}. This record does not assert independent reproduction. ### vq-wav2vec Gumbel + BERT base WER: 2.34. Result ID: 698d14788b517eb4331ed808. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"CHAR CONVLM"}. This record does not assert independent reproduction. ### wav2vec large WER: 2.43. Result ID: 698ce9a18b517eb4331d9f3e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"CHAR CONVLM","Pre-training Data":"Librispeech","Pre-training Hours":"960h"}. This record does not assert independent reproduction. ### wav2vec WER: 2.43. Result ID: 698d14788b517eb4331ed807. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"CHAR CONVLM"}. This record does not assert independent reproduction. ### Supervised transfer-learning WER: 2.53. Result ID: 698ce9a18b517eb4331d9f33. [Reporting paper]() Recorded evaluation configuration: {"phoneme-based":true}. This record does not assert independent reproduction. ### wav2vec large WER: 2.53. Result ID: 698ce9a18b517eb4331d9f3b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"WORD CONVLM","Pre-training Data":"Librispeech","Pre-training Hours":"960h"}. This record does not assert independent reproduction. ### Supervised transfer-learning WER: 2.53. Result ID: 698d14788b517eb4331ed7fd. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### wav2vec WER: 2.78. Result ID: 698ce9a18b517eb4331d9f3d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"CHAR CONVLM","Pre-training Data":"Librispeech","Pre-training Hours":"960h"}. This record does not assert independent reproduction. ### Lattice-free MMI WER: 2.8. Result ID: 698ce9a18b517eb4331d9f32. [Reporting paper]() Recorded evaluation configuration: {"phoneme-based":true}. This record does not assert independent reproduction. ### Lattice-free MMI WER: 2.8. Result ID: 698d14788b517eb4331ed7fc. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### wav2vec WER: 2.87. Result ID: 698ce9a18b517eb4331d9f3a. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"WORD CONVLM","Pre-training Data":"Librispeech","Pre-training Hours":"960h"}. This record does not assert independent reproduction. ### Deep Speech 2 WER: 3.1. Result ID: 698ce9a18b517eb4331d9f30. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"labeled speech":"12K h"}. This record does not assert independent reproduction. ### Deep Speech 2 WER: 3.1. Result ID: 698d14788b517eb4331ed7fa. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training":"12K h labeled speech"}. This record does not assert independent reproduction. ### Log-mel filterbanks (Baseline) WER: 3.46. Result ID: 698ce9a18b517eb4331d9f3c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Language Model":"CHAR CONVLM"}. This record does not assert independent reproduction. ### Baseline (log-mel) WER: 3.46. Result ID: 698d14788b517eb4331ed806. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Language Model":"CHAR CONVLM"}. This record does not assert independent reproduction. ### Trainable frontend WER: 3.5. Result ID: 698ce9a18b517eb4331d9f31. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Trainable frontend WER: 3.5. Result ID: 698d14788b517eb4331ed7fb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Log-mel filterbanks (Baseline) WER: 3.6. Result ID: 698ce9a18b517eb4331d9f39. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Language Model":"WORD CONVLM"}. This record does not assert independent reproduction. ### vq-wav2vec Gumbel + BERT base WER: 3.62. Result ID: 698d14788b517eb4331ed805. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"4-gram LM"}. This record does not assert independent reproduction. ### wav2vec large WER: 4.32. Result ID: 698ce9a18b517eb4331d9f38. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"4-GRAM LM","Pre-training Data":"Librispeech","Pre-training Hours":"960h"}. This record does not assert independent reproduction. ### wav2vec WER: 4.32. Result ID: 698d14788b517eb4331ed803. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"4-gram LM"}. This record does not assert independent reproduction. ### wav2vec WER: 4.57. Result ID: 698ce9a18b517eb4331d9f36. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"4-GRAM LM","Pre-training Data":"Librispeech","Pre-training Hours":"960h"}. This record does not assert independent reproduction. ### wav2vec WER: 4.61. Result ID: 698ce9a18b517eb4331d9f37. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"4-GRAM LM","Pre-training Data":"Libri + WSJ","Pre-training Hours":"1,041 h"}. This record does not assert independent reproduction. ### wav2vec WER: 5.55. Result ID: 698ce9a18b517eb4331d9f35. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"4-GRAM LM","Pre-training Data":"Librispeech","Pre-training Hours":"80h"}. This record does not assert independent reproduction. ### Log-mel filterbanks (Baseline) WER: 5.64. Result ID: 698ce9a18b517eb4331d9f34. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Language Model":"4-GRAM LM"}. This record does not assert independent reproduction. ### Baseline (log-mel) WER: 5.64. Result ID: 698d14788b517eb4331ed802. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Language Model":"4-gram LM"}. This record does not assert independent reproduction. ### vq-wav2vec Gumbel WER: 6.1. Result ID: 698d14788b517eb4331ed804. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"4-gram LM"}. This record does not assert independent reproduction. ### vq-wav2vec Gumbel + BERT base WER: 9.39. Result ID: 698d14788b517eb4331ed801. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"None"}. This record does not assert independent reproduction. ### wav2vec WER: 11.2. Result ID: 698d14788b517eb4331ed7ff. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"None"}. This record does not assert independent reproduction. ### Baseline (log-mel) WER: 13.93. Result ID: 698d14788b517eb4331ed7fe. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Language Model":"None"}. This record does not assert independent reproduction. ### vq-wav2vec Gumbel WER: 14.67. Result ID: 698d14788b517eb4331ed800. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Language Model":"None"}. 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