Sandiago21 commited on
Commit
639d737
β€’
1 Parent(s): 6f905f8

Upload folder using huggingface_hub

Browse files
Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -14,12 +14,11 @@ asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-
14
  model_id = "Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german" # update with your model id
15
  # pipe = pipeline("automatic-speech-recognition", model=model_id)
16
  model = SpeechT5ForTextToSpeech.from_pretrained(model_id)
 
17
  vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
18
  embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
19
  speaker_embeddings = torch.tensor(embeddings_dataset[7440]["xvector"]).unsqueeze(0)
20
 
21
- processor = SpeechT5Processor.from_pretrained(model_id)
22
-
23
  replacements = [
24
  ("Γ„", "E"),
25
  ("Γ†", "E"),
@@ -112,8 +111,8 @@ def speech_to_speech_translation(audio):
112
 
113
  title = "Cascaded STST"
114
  description = """
115
- Demo for cascaded speech-to-speech translation (STST), mapping from source speech in any language to target speech in Greek. Demo uses OpenAI's [Whisper Large v2](https://huggingface.co/openai/whisper-large-v2) model for speech translation, and [Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german](https://huggingface.co/Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german) checkpoint for text-to-speech, which is based on Microsoft's
116
- [SpeechT5 TTS](https://huggingface.co/microsoft/speecht5_tts) model for text-to-speech, fine-tuned in Greek Audio dataset:
117
  ![Cascaded STST](https://huggingface.co/datasets/huggingface-course/audio-course-images/resolve/main/s2st_cascaded.png "Diagram of cascaded speech to speech translation")
118
  """
119
 
 
14
  model_id = "Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german" # update with your model id
15
  # pipe = pipeline("automatic-speech-recognition", model=model_id)
16
  model = SpeechT5ForTextToSpeech.from_pretrained(model_id)
17
+ processor = SpeechT5Processor.from_pretrained(model_id)
18
  vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
19
  embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
20
  speaker_embeddings = torch.tensor(embeddings_dataset[7440]["xvector"]).unsqueeze(0)
21
 
 
 
22
  replacements = [
23
  ("Γ„", "E"),
24
  ("Γ†", "E"),
 
111
 
112
  title = "Cascaded STST"
113
  description = """
114
+ Demo for cascaded speech-to-speech translation (STST), mapping from source speech in any language to target speech in German. Demo uses OpenAI's [Whisper Large v2](https://huggingface.co/openai/whisper-large-v2) model for speech translation, and [Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german](https://huggingface.co/Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german) checkpoint for text-to-speech, which is based on Microsoft's
115
+ [SpeechT5 TTS](https://huggingface.co/microsoft/speecht5_tts) model for text-to-speech, fine-tuned in German Audio dataset:
116
  ![Cascaded STST](https://huggingface.co/datasets/huggingface-course/audio-course-images/resolve/main/s2st_cascaded.png "Diagram of cascaded speech to speech translation")
117
  """
118