Add ConferencingSpeech 2021 recipe to egs2 #4192
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egs2/README.md
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| @@ -19,6 +19,7 @@ See: https://espnet.github.io/espnet/espnet2_tutorial.html#recipes-using-espnet2 | |||
| | chime4 | The 4th CHiME Speech Separation and Recognition Challenge | ASR/Multichannel ASR | ENG | http://spandh.dcs.shef.ac.uk/chime_challenge/chime2016/ | | | |||
| | cmu_indic | CMU INDIC | TTS | 7 languages | http://festvox.org/cmu_indic/ | | | |||
| | commonvoice | The Mozilla Common Voice | ASR | 13 languages | https://voice.mozilla.org/datasets | | | |||
| | conferencingspeech21 | Far-field Multi-channel Speech Enhancement Challenge for Video Conferencing (ConferencingSpeech 2021) | SE | 2 languages | https://tea-lab.qq.com/conferencingspeech-2021 | | | |||
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2 languages -> ENG, CMN
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OK. This is more clear.
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@LiChenda, can I ask you to review this PR? |
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@sw005320 Sure, I can review this PR. |
| path_noise = noise_data[path_noise] | ||
| out.write( | ||
| f"{path_clean} {start_time} {path_noise} " | ||
| f"/path/{args.tag}/{path_rir}.wav {snr} {scale}\n" |
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Does "/path/" exist on filesystem?
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This is a placeholder. We don't actually use this path for simulation. Because this python script is intended for generating the simulation configuration from an already generated data.
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Thanks, @Emrys365! |
I was not sure if it is appropriate to upload my local model. Because it was trained based on a local branch of espnet, where a customized Preprocessor was defined and used in espnet2/train/preprocessor.py.
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I see. |
ConferencingSpeech 2021 is a far-field multi-channel speech enhancement challenge.
The training data includes several English and Mandarin corpora, while test data are semi-real and real recordings in Mandarin.
This PR adds the enh recipe for task2 (Multi-channel speech enhancement with multiple distributed microphone arrays).