[examples] add libritts recipe #56
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robin1001
reviewed
Sep 13, 2025
| def extract(self, item): | ||
| import s3tokenizer | ||
| waveform, sample_rate = torchaudio.load(item['wav']) | ||
| item['wav'] = waveform |
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这两行不需要了，下面的直接用 waveform 和 sample_rate 就可以
audio = torchaudio.transforms.Resample(sample_rate,
16000)(waveform)
robin1001
reviewed
Sep 13, 2025
| def extract(self, item): | ||
| import s3tokenizer | ||
| IGNORE_TOKEN_ID = LabelSmoother.ignore_index | ||
| waveform, sample_rate = torchaudio.load(item['wav']) |
robin1001
reviewed
Sep 13, 2025
| en_tn_model = EnNormalizer(overwrite_cache=False) | ||
| # ASR model | ||
| model = whisper.load_model( | ||
| "/jfs-hdfs/user/xingchen.song/share/whisper/large-v3-turbo.pt" |
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这个改成 large-v3-turbo，用户使用时自己自动下载
robin1001
reviewed
Sep 13, 2025
| import wespeaker | ||
|
|
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| model = wespeaker.load_model( | ||
| model_dir="/jfs-hdfs/user/binbin.zhang/models/wespeaker/chinese" |
robin1001
reviewed
Sep 13, 2025
| @@ -0,0 +1,7 @@ | |||
| { | |||
| "llm_model_name_or_path": "/bucket/output/jfs-hdfs/user/binbin.zhang/github/west/examples/aishell/tts/model/Qwen2.5-0.5B-Audio", | |||
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这个是在 Qwen2.5-0.5B 基础上增加 4096 个 speech token 来的，这个模型的生成我们后续也加进来。
Collaborator
|
后续增加一下 README，主要有 Tutorial 和 Results 两部分，参考 aishell。这个 PR 我我们先合并，一些 comment 我们放到后续的 PR 里。 |
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Add Libritts recipe