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Update benchmark results for LibriSpeech model due to #427 #436

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Nov 8, 2017
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Update benchmark results for LibriSpeech model due to #427 #436

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14 changes: 7 additions & 7 deletions deep_speech_2/README.md
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Expand Up @@ -498,13 +498,13 @@ Language Model | Training Data | Token-based | Size | Descriptions

Test Set | LibriSpeech Model | BaiduEN8K Model
:--------------------- | ---------------: | -------------------:
LibriSpeech Test-Clean | 8.06 | 6.63
LibriSpeech Test-Other | 24.25 | 16.59
VoxForge American-Canadian | 13.48 |   7.46
VoxForge Commonwealth | 22.37 | 16.23
VoxForge European | 32.64 | 20.47
VoxForge Indian | 58.48 | 28.15
Baidu Internal Testset  |   48.93 |   8.92
LibriSpeech Test-Clean | 7.77 | 6.63
LibriSpeech Test-Other | 23.25 | 16.59
VoxForge American-Canadian | 12.52 |   7.46
VoxForge Commonwealth | 21.08 | 16.23
VoxForge European | 31.21 | 20.47
VoxForge Indian | 56.79 | 28.15
Baidu Internal Testset  |   47.73 |   8.92

#### Benchmark Results for Mandarin Model (Character Error Rate)

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