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.

This repository implements a speech-to-speech cascaded pipeline consisting of the following parts: The pipeline provides a fully open and modular approach, with a focus on leveraging models available through the Transformers library on the Hugging Face hub.

2023年2月8日 · speech-to-text for automatic speech recognition or speaker identification, text-to-speech to synthesize audio, and; speech-to-speech for converting between different voices or performing speech enhancement. The main idea behind SpeechT5 is to pre-train a single model on a mixture of text-to-speech, speech-to-text, text-to-text, and speech-to ...

Text-to-speech (TTS) is the task of creating natural-sounding speech from text, where the speech can be generated in multiple languages and for multiple speakers. Several text-to-speech models are currently available in 🤗 Transformers, such as Bark, MMS, VITS and SpeechT5.

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.

2024年10月8日 · Deployment solution with Triton and TensorRT-LLM. Decoding on a single L20 GPU, using 26 different prompt_audio & target_text pairs. See detailed instructions for more information. In order to achieve desired performance, take a moment to read detailed guidance. By properly searching the keywords of problem encountered, issues are very helpful. 1.

2024年10月9日 · Trained on a public 100K hours multilingual dataset, our Fairytaler Fakes Fluent and Faithful speech with Flow matching (F5-TTS) exhibits highly natural and expressive zero-shot ability, seamless code-switching capability, and speed control efficiency. Demo samples can be found at this https URL.

2024年2月27日 · Inspired by LMSys 's Chatbot Arena for LLMs, we developed a tool that allows anyone to easily compare TTS models side-by-side. Just submit some text, listen to two different models speak it out, and vote on which model you think is the best. The results will be organized into a leaderboard that displays the community’s highest-rated models.

StreamSpeech performs streaming ASR, simultaneous speech-to-text translation and simultaneous speech-to-speech translation via an "All in One" seamless model. StreamSpeech can present intermediate results (i.e., ASR or translation results) during simultaneous translation, offering a more comprehensive low-latency communication experience.

使用由 Google 的精华 AI 技术提供支持的 API，将文字转换为自然而逼真的语音。 新客户可获得最高 $300 赠金，用于试用 Text-to-Speech 和其他 Google Cloud 产品。 部署 Google 的突破性 …