Text-to-Speech
Transformers
TensorBoard
Safetensors
speechbrain
English
speecht5
text-to-audio
speech
tts
style-transfer
emotion
wavlm
gradio
sagemaker
Instructions to use Amirhossein75/Emotion-Aware-TTS-Style-Transfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirhossein75/Emotion-Aware-TTS-Style-Transfer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Amirhossein75/Emotion-Aware-TTS-Style-Transfer")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Amirhossein75/Emotion-Aware-TTS-Style-Transfer") model = AutoModelForTextToSpectrogram.from_pretrained("Amirhossein75/Emotion-Aware-TTS-Style-Transfer", device_map="auto") - speechbrain
How to use Amirhossein75/Emotion-Aware-TTS-Style-Transfer 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 | |
| } | |