microsoft/speecht5_tts
text-to-speech model by microsoft
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SpeechT5 model fine-tuned for speech synthesis (text-to-speech) on LibriTTS. This model was introduced in SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei. SpeechT5 was first released in this repository, original weights. The license used is MIT. Motivated by the success of T5 (Text-To-Text Transfer Transformer) in pre-trained natural language processing models, we propose a unified-modal SpeechT5 framework that explores the encoder-decoder pre-training for self-supervised speech/text representation learning. The SpeechT5 framework consists of a shared encoder-decoder network and six modal-specific (speech/text) pre/post-nets. After preprocessing the input speech/text through the pre-nets, the shared encoder-decoder network models the sequence-to-sequence transformation, and then the post-nets generate the output in the speech/text modality based on the output of the decoder. Leveraging large-scale unlabeled speech and text…
Read the full model card ↗ · Preview checked 2026-10-28T14:44:57.262Z
Inside the original model card — Document outline
- SpeechT5 (TTS task)
- Model Description
- Model Sources [optional]
- Uses
- 🤗 Transformers Usage
- Fine-tuning the Model
- Direct Use
- Downstream Use [optional]
- Out-of-Scope Use
- Bias, Risks, and Limitations
- Recommendations
- Training Details
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
microsoft/speecht5_tts is a text-to-speech model repository published by microsoft on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- transformers
- Recent downloads (30 days)
- 80,461
- Cumulative likes
- 850
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- SpeechT5ForTextToSpeech
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2023-02-02T12:56:54.000Z
- Last modified
- 2023-11-08T14:37:23.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.
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