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View Code? Open in Web Editor NEWA PyTorch implementation of paper "Learning Shared Semantic Space for Speech-to-Text Translation", ACL (Findings) 2021
License: MIT License
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some question on your shared image
Thanks for your great work. I watch your report in techbeat. I has a question that in the below image, you say dirrerent color represent different semantic. However, in your grapg, one color may has two clusters like green and blue. It means that it contain different semantic infromation? Thanks
train-en2any-ST script
Hi,
Thank for this amazing work, however, the train-en2any-ST script, which described in README section seems missing.
some version problem
Chimera-ST/chimera/prepare_data/prep_mustc_data.py
88 change to sample_rate = torchaudio.info(wav_path).sample_rate
114 change to waveform, _ = torchaudio.load( wav_path, frame_offset=offset, num_frames=n_frames)
wav2vec 2.0模型地址失效
您好，感谢开源模型代码！我在复现时遇到了一点问题：
代码中脚本下载w2v2.0模型的地址：
http://sf3-ttcdn-tos.pstatp.com/obj/nlp-opensource/acl2021/chimera
似乎已经失效，我自己在：
https://github.com/pytorch/fairseq/blob/main/examples/wav2vec/README.md
下载了官方所提供的模型：
https://dl.fbaipublicfiles.com/fairseq/wav2vec/wav2vec_small_960h.pt
但是发现不匹配，报错如下：
RuntimeError: Error(s) in loading state_dict for Wav2Vec2Model:
Missing key(s) in state_dict: "mask_emb", "feature_extractor.conv_layers.0.0.weight", "feature_extractor.conv_layers.0.2.weight", "feature_extractor.conv_layers.0.2.bias", "feature_extractor.conv_layers.1.0.weight", "feature_extractor.conv_layers.2.0.weight", "feature_extractor.conv_layers.3.0.weight", "feature_extractor.conv_layers.4.0.weight", "feature_extractor.conv_layers.5.0.weight", "project_q.weight", "project_q.bias", "encoder.pos_conv.0.bias", "encoder.pos_conv.0.weight_g", "encoder.pos_conv.0.weight_v", "encoder.layers.0.self_attn.k_proj.weight", "encoder.layers.0.self_attn.k_proj.bias", "encoder.layers.0.self_attn.v_proj.weight", "encoder.layers.0.self_attn.v_proj.bias", "encoder.layers.0.self_attn.q_proj.weight", "encoder.layers.0.self_attn.q_proj.bias", "encoder.layers.0.self_attn.out_proj.weight", "encoder.layers.0.self_attn.out_proj.bias", "encoder.layers.0.self_attn_layer_norm.weight", "encoder.layers.0.self_attn_layer_norm.bias", "encoder.layers.0.fc1.weight", "encoder.layers.0.fc1.bias", "encoder.layers.0.fc2.weight", "encoder.layers.0.fc2.bias", "encoder.layers.0.final_layer_norm.weight", "encoder.layers.0.final_layer_norm.bias", "encoder.layers.1.self_attn.k_proj.weight", "encoder.layers.1.self_attn.k_proj.bias", "encoder.layers.1.self_attn.v_proj.weight", "encoder.layers.1.self_attn.v_proj.bias", "encoder.layers.1.self_attn.q_proj.weight", "encoder.layers.1.self_attn.q_proj.bias", "encoder.layers.1.self_attn.out_proj.weight", "encoder.layers.1.self_attn.out_proj.bias", "encoder.layers.1.self_attn_layer_norm.weight", "encoder.layers.1.self_attn_layer_norm.bias", "encoder.layers.1.fc1.weight", "encoder.layers.1.fc1.bias", "encoder.layers.1.fc2.weight", "encoder.layers.1.fc2.bias", "encoder.layers.1.final_layer_norm.weight", "encoder.layers.1.final_layer_norm.bias", "encoder.layers.2.self_attn.k_proj.weight", "encoder.layers.2.self_attn.k_proj.bias", "encoder.layers.2.self_attn.v_proj.weight", "encoder.layers.2.self_attn.v_proj.bias", "encoder.layers.2.self_attn.q_proj.weight", "encoder.layers.2.self_attn.q_proj.bias", "encoder.layers.2.self_attn.out_proj.weight", "encoder.layers.2.self_attn.out_proj.bias", "encoder.layers.2.self_attn_layer_norm.weight", "encoder.layers.2.self_attn_layer_norm.bias", "encoder.layers.2.fc1.weight", "encoder.layers.2.fc1.bias", "encoder.layers.2.fc2.weight", "encoder.layers.2.fc2.bias", "encoder.layers.2.final_layer_norm.weight", "encoder.layers.2.final_layer_norm.bias", "encoder.layers.3.self_attn.k_proj.weight", "encoder.layers.3.self_attn.k_proj.bias", "encoder.layers.3.self_attn.v_proj.weight", "encoder.layers.3.self_attn.v_proj.bias", "encoder.layers.3.self_attn.q_proj.weight", "encoder.layers.3.self_attn.q_proj.bias", "encoder.layers.3.self_attn.out_proj.weight", "encoder.layers.3.self_attn.out_proj.bias", "encoder.layers.3.self_attn_layer_norm.weight", "encoder.layers.3.self_attn_layer_norm.bias", "encoder.layers.3.fc1.weight", "encoder.layers.3.fc1.bias", "encoder.layers.3.fc2.weight", "encoder.layers.3.fc2.bias", "encoder.layers.3.final_layer_norm.weight", "encoder.layers.3.final_layer_norm.bias", "encoder.layers.4.self_attn.k_proj.weight", "encoder.layers.4.self_attn.k_proj.bias", "encoder.layers.4.self_attn.v_proj.weight", "encoder.layers.4.self_attn.v_proj.bias", "encoder.layers.4.self_attn.q_proj.weight", "encoder.layers.4.self_attn.q_proj.bias", "encoder.layers.4.self_attn.out_proj.weight", "encoder.layers.4.self_attn.out_proj.bias", "encoder.layers.4.self_attn_layer_norm.weight", "encoder.layers.4.self_attn_layer_norm.bias", "encoder.layers.4.fc1.weight", "encoder.layers.4.fc1.bias", "encoder.layers.4.fc2.weight", "encoder.layers.4.fc2.bias", "encoder.layers.4.final_layer_norm.weight", "encoder.layers.4.final_layer_norm.bias", "encoder.layers.5.self_attn.k_proj.weight", "encoder.layers.5.self_attn.k_proj.bias", "encoder.layers.5.self_attn.v_proj.weight", "encoder.layers.5.self_attn.v_proj.bias", "encoder.layers.5.self_attn.q_proj.weight", "encoder.layers.5.self_attn.q_proj.bias", "encoder.layers.5.self_attn.out_proj.weight", "encoder.layers.5.self_attn.out_proj.bias", "encoder.layers.5.self_attn_layer_norm.weight", "encoder.layers.5.self_attn_layer_norm.bias", "encoder.layers.5.fc1.weight", "encoder.layers.5.fc1.bias", "encoder.layers.5.fc2.weight", "encoder.layers.5.fc2.bias", "encoder.layers.5.final_layer_norm.weight", "encoder.layers.5.final_layer_norm.bias", "encoder.layer_norm.weight", "encoder.layer_norm.bias", "layer_norm.weight", "layer_norm.bias", "final_proj.weight", "final_proj.bias".
Unexpected key(s) in state_dict: "w2v_encoder.proj.weight", "w2v_encoder.proj.bias", "w2v_encoder.w2v_model.feature_extractor.conv_layers.0.0.weight", "w2v_encoder.w2v_model.feature_extractor.conv_layers.0.2.weight", "w2v_encoder.w2v_model.feature_extractor.conv_layers.0.2.bias", "w2v_encoder.w2v_model.feature_extractor.conv_layers.1.0.weight", "w2v_encoder.w2v_model.feature_extractor.conv_layers.2.0.weight", "w2v_encoder.w2v_model.feature_extractor.conv_layers.3.0.weight", "w2v_encoder.w2v_model.feature_extractor.conv_layers.4.0.weight", "w2v_encoder.w2v_model.feature_extractor.conv_layers.5.0.weight", "w2v_encoder.w2v_model.feature_extractor.conv_layers.6.0.weight", "w2v_encoder.w2v_model.encoder.pos_conv.0.bias", "w2v_encoder.w2v_model.encoder.pos_conv.0.weight_g", "w2v_encoder.w2v_model.encoder.pos_conv.0.weight_v", "w2v_encoder.w2v_model.encoder.layers.0.self_attn.k_proj.weight", "w2v_encoder.w2v_model.encoder.layers.0.self_attn.k_proj.bias", "w2v_encoder.w2v_model.encoder.layers.0.self_attn.v_proj.weight", "w2v_encoder.w2v_model.encoder.layers.0.self_attn.v_proj.bias", "w2v_encoder.w2v_model.encoder.layers.0.self_attn.q_proj.weight", "w2v_encoder.w2v_model.encoder.layers.0.self_attn.q_proj.bias", "w2v_encoder.w2v_model.encoder.layers.0.self_attn.out_proj.weight", "w2v_encoder.w2v_model.encoder.layers.0.self_attn.out_proj.bias", "w2v_encoder.w2v_model.encoder.layers.0.self_attn_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.0.self_attn_layer_norm.bias", "w2v_encoder.w2v_model.encoder.layers.0.fc1.weight", "w2v_encoder.w2v_model.encoder.layers.0.fc1.bias", "w2v_encoder.w2v_model.encoder.layers.0.fc2.weight", "w2v_encoder.w2v_model.encoder.layers.0.fc2.bias", "w2v_encoder.w2v_model.encoder.layers.0.final_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.0.final_layer_norm.bias", "w2v_encoder.w2v_model.encoder.layers.1.self_attn.k_proj.weight", "w2v_encoder.w2v_model.encoder.layers.1.self_attn.k_proj.bias", "w2v_encoder.w2v_model.encoder.layers.1.self_attn.v_proj.weight", "w2v_encoder.w2v_model.encoder.layers.1.self_attn.v_proj.bias", "w2v_encoder.w2v_model.encoder.layers.1.self_attn.q_proj.weight", "w2v_encoder.w2v_model.encoder.layers.1.self_attn.q_proj.bias", "w2v_encoder.w2v_model.encoder.layers.1.self_attn.out_proj.weight", "w2v_encoder.w2v_model.encoder.layers.1.self_attn.out_proj.bias", "w2v_encoder.w2v_model.encoder.layers.1.self_attn_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.1.self_attn_layer_norm.bias", "w2v_encoder.w2v_model.encoder.layers.1.fc1.weight", "w2v_encoder.w2v_model.encoder.layers.1.fc1.bias", "w2v_encoder.w2v_model.encoder.layers.1.fc2.weight", "w2v_encoder.w2v_model.encoder.layers.1.fc2.bias", "w2v_encoder.w2v_model.encoder.layers.1.final_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.1.final_layer_norm.bias", "w2v_encoder.w2v_model.encoder.layers.2.self_attn.k_proj.weight", "w2v_encoder.w2v_model.encoder.layers.2.self_attn.k_proj.bias", "w2v_encoder.w2v_model.encoder.layers.2.self_attn.v_proj.weight", "w2v_encoder.w2v_model.encoder.layers.2.self_attn.v_proj.bias", "w2v_encoder.w2v_model.encoder.layers.2.self_attn.q_proj.weight", "w2v_encoder.w2v_model.encoder.layers.2.self_attn.q_proj.bias", "w2v_encoder.w2v_model.encoder.layers.2.self_attn.out_proj.weight", "w2v_encoder.w2v_model.encoder.layers.2.self_attn.out_proj.bias", "w2v_encoder.w2v_model.encoder.layers.2.self_attn_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.2.self_attn_layer_norm.bias", "w2v_encoder.w2v_model.encoder.layers.2.fc1.weight", "w2v_encoder.w2v_model.encoder.layers.2.fc1.bias", "w2v_encoder.w2v_model.encoder.layers.2.fc2.weight", "w2v_encoder.w2v_model.encoder.layers.2.fc2.bias", "w2v_encoder.w2v_model.encoder.layers.2.final_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.2.final_layer_norm.bias", "w2v_encoder.w2v_model.encoder.layers.3.self_attn.k_proj.weight", "w2v_encoder.w2v_model.encoder.layers.3.self_attn.k_proj.bias", 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"w2v_encoder.w2v_model.encoder.layers.10.self_attn.k_proj.bias", "w2v_encoder.w2v_model.encoder.layers.10.self_attn.v_proj.weight", "w2v_encoder.w2v_model.encoder.layers.10.self_attn.v_proj.bias", "w2v_encoder.w2v_model.encoder.layers.10.self_attn.q_proj.weight", "w2v_encoder.w2v_model.encoder.layers.10.self_attn.q_proj.bias", "w2v_encoder.w2v_model.encoder.layers.10.self_attn.out_proj.weight", "w2v_encoder.w2v_model.encoder.layers.10.self_attn.out_proj.bias", "w2v_encoder.w2v_model.encoder.layers.10.self_attn_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.10.self_attn_layer_norm.bias", "w2v_encoder.w2v_model.encoder.layers.10.fc1.weight", "w2v_encoder.w2v_model.encoder.layers.10.fc1.bias", "w2v_encoder.w2v_model.encoder.layers.10.fc2.weight", "w2v_encoder.w2v_model.encoder.layers.10.fc2.bias", "w2v_encoder.w2v_model.encoder.layers.10.final_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.10.final_layer_norm.bias", "w2v_encoder.w2v_model.encoder.layers.11.self_attn.k_proj.weight", "w2v_encoder.w2v_model.encoder.layers.11.self_attn.k_proj.bias", "w2v_encoder.w2v_model.encoder.layers.11.self_attn.v_proj.weight", "w2v_encoder.w2v_model.encoder.layers.11.self_attn.v_proj.bias", "w2v_encoder.w2v_model.encoder.layers.11.self_attn.q_proj.weight", "w2v_encoder.w2v_model.encoder.layers.11.self_attn.q_proj.bias", "w2v_encoder.w2v_model.encoder.layers.11.self_attn.out_proj.weight", "w2v_encoder.w2v_model.encoder.layers.11.self_attn.out_proj.bias", "w2v_encoder.w2v_model.encoder.layers.11.self_attn_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.11.self_attn_layer_norm.bias", "w2v_encoder.w2v_model.encoder.layers.11.fc1.weight", "w2v_encoder.w2v_model.encoder.layers.11.fc1.bias", "w2v_encoder.w2v_model.encoder.layers.11.fc2.weight", "w2v_encoder.w2v_model.encoder.layers.11.fc2.bias", "w2v_encoder.w2v_model.encoder.layers.11.final_layer_norm.weight", "w2v_encoder.w2v_model.encoder.layers.11.final_layer_norm.bias", "w2v_encoder.w2v_model.layer_norm.weight", "w2v_encoder.w2v_model.layer_norm.bias", "w2v_encoder.w2v_model.post_extract_proj.weight", "w2v_encoder.w2v_model.post_extract_proj.bias", "w2v_encoder.w2v_model.mask_emb", "w2v_encoder.w2v_model.encoder.layer_norm.weight", "w2v_encoder.w2v_model.encoder.layer_norm.bias".
可以提供一下文中使用的w2v2.0模型的新地址吗？十分感谢！
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