diff --git a/models/audio/speech_recognition/conformer/igie/README.md b/models/audio/speech_recognition/conformer/igie/README.md index 585d70d0cafec13c05fcc68f8b92b44603fa070a..1596f260f849630df77b19e23e8210e345d0ad16 100644 --- a/models/audio/speech_recognition/conformer/igie/README.md +++ b/models/audio/speech_recognition/conformer/igie/README.md @@ -18,7 +18,7 @@ Conformer applies convolution to the Encoder layer of Transformer, enhancing the ### Prepare Resources -Pretrained model: +Pretrained model: Dataset: to download the Aishell dataset. diff --git a/models/audio/speech_recognition/conformer/ixrt/README.md b/models/audio/speech_recognition/conformer/ixrt/README.md index fd7a35de70ecfa131a3a36180d3480e3ab973ab4..ca8125825585929d15da5e8ec6b8610f88341d5b 100644 --- a/models/audio/speech_recognition/conformer/ixrt/README.md +++ b/models/audio/speech_recognition/conformer/ixrt/README.md @@ -15,7 +15,7 @@ Conformer is a speech recognition model proposed by Google in 2020. It combines ### Prepare Resources -Pretrained model: +Pretrained model: Dataset: to download the Aishell dataset. diff --git a/tests/model_info.json b/tests/model_info.json index aa8dbd39e22c4907b1262a2cc744017a40ca788c..b13dcb19066e012d6f0e33e855ec23ae7bf44aa3 100644 --- a/tests/model_info.json +++ b/tests/model_info.json @@ -24,7 +24,7 @@ "github_branch": "", "github_path": "", "datasets": "https://www.openslr.org/33/aishell", - "download_url": "http://mobvoi-speech-public.ufile.ucloud.cn/public/wenet/aishell/20211025_conformer_exp", + "download_url": "https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/wenetspeech/20211025_conformer_exp", "need_third_part": true, "precisions": [ "fp16" @@ -57,7 +57,7 @@ "github_branch": "", "github_path": "", "datasets": "https://www.openslr.org/33/aishell.tar.gz", - "download_url": "http://mobvoi-speech-public.ufile.ucloud.cn/public/wenet/aishell/20211025_conformer_exp.tar.gz", + "download_url": "https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/wenetspeech/20211025_conformer_exp", "need_third_part": true, "precisions": [ "fp16"