Audio-to-Audio
Transformers
Safetensors
speechbrain
English
speecht5
speech
audio
voice-conversion
hifigan
xvector
sagemaker
Instructions to use Amirhossein75/Speech-Conversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirhossein75/Speech-Conversion with Transformers:
# Load model directly from transformers import AutoProcessor, SpeechT5ForSpeechToSpeech processor = AutoProcessor.from_pretrained("Amirhossein75/Speech-Conversion") model = SpeechT5ForSpeechToSpeech.from_pretrained("Amirhossein75/Speech-Conversion", device_map="auto") - speechbrain
How to use Amirhossein75/Speech-Conversion with speechbrain:
# interface not specified in config.json
- Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": false, | |
| "feature_extractor_type": "SpeechT5FeatureExtractor", | |
| "feature_size": 1, | |
| "fmax": 7600, | |
| "fmin": 80, | |
| "frame_signal_scale": 1.0, | |
| "hop_length": 16, | |
| "mel_floor": 1e-10, | |
| "num_mel_bins": 80, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "processor_class": "SpeechT5Processor", | |
| "reduction_factor": 2, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "win_function": "hann_window", | |
| "win_length": 64 | |
| } | |