# Multilingual TTS

The Kyoto Station Text-to-Speech (TTS) model is a model for streaming text-to-speech, supporting real-time speech generation and multilingual processing.

Spark-TTS-0.5B is a quantized version based on prince-canuma/Spark-TTS-0.5B, supporting text-to-speech tasks in English and Chinese.

This is a 3-bit quantized text-to-speech model in MLX format, supporting multiple languages.

IndicF5 is a near-human-level multilingual text-to-speech (TTS) model supporting 11 Indian languages, trained on 1417 hours of high-quality speech data.

This is a text-to-speech model based on the Apache-2.0 license, supporting English language processing.

Fish Speech V1.5 is a leading text-to-speech (TTS) model, trained on over 1 million hours of multilingual audio data.

Zonos-v0.1 is a leading open-weight text-to-speech model trained on over 200,000 hours of multilingual speech data, delivering expressiveness and quality comparable to or even surpassing top-tier TTS service providers.

OuteTTS-0.3-1B is a multilingual text-to-speech model developed by OuteAI, supporting English, Chinese, Japanese, Korean, French, and German.

OuteTTS-0.3-1B is a multilingual text-to-speech model developed by OuteAI and quantized by Second State Inc.

OuteTTS-0.3-500M is a multilingual text-to-speech model developed by OuteAI and released under the cc-by-nc-4.0 license.

OuteTTS-0.3-500M is a multilingual text-to-speech model supporting English, Chinese, Japanese, Korean, French, and German.

OuteTTS-0.2-500M is a multilingual text-to-speech model developed by OuteAI, supporting English, Chinese, Japanese, and Korean.

OuteTTS-0.2-500M is a multilingual text-to-speech model supporting English, Chinese, Japanese, and Korean.

HelpingAI-TTS-v1 is a next-generation text-to-speech (TTS) tool focused on personalization, emotional expression, and clarity, supporting multiple languages and emotion customization.

Leading text-to-speech (TTS) model trained on over 1 million hours of multilingual audio data

Fish Speech 1.5 is a multilingual text-to-speech model that supports multiple languages and can be used without an access token.

Indri is a text-to-speech (TTS) model supporting English and Hindi, with a parameter size of 124M, optimized for CPU inference in GGUF format.

A Tamil speech synthesis model fine-tuned on the common_voice_17_0 dataset based on microsoft/speecht5_tts

A groundbreaking speech-to-speech model capable of accurately capturing and generating environmental audio information, while featuring advanced text-to-speech capabilities.

A Hindi speech synthesis model fine-tuned on the common_voice_17_0 dataset based on microsoft/speecht5_tts

This is a fine-tuned version of the XTTS v2 model developed by Coqui-AI, specifically optimized for Hindi speech datasets, supporting voice cloning and multilingual speech generation.

This is a Vietnamese text-to-speech (TTS) model fine-tuned on the microsoft/speecht5_tts model, trained on the generator dataset.

viⓍTTS is a voice generation model supporting 18 languages, specifically optimized for Vietnamese, achieving cross-lingual voice cloning with just 6 seconds of audio.

A text-to-speech model fine-tuned on the VoxPopuli dataset based on microsoft/speecht5_tts

A Portuguese text-to-speech model fine-tuned based on Microsoft's SpeechT5 architecture, supporting high-quality speech synthesis

A text-to-speech model fine-tuned on the German LibriSpeech dataset based on Microsoft's SpeechT5 model

Burmese text-to-speech model developed by Meta, part of the Massively Multilingual Speech (MMS) project

A Central Mnong text-to-speech model developed by Meta, supporting conversion of text to natural speech

A Kyrgyz text-to-speech model developed by Meta, based on the VITS architecture, supporting high-quality speech synthesis.

Chichewa text-to-speech model developed by Meta AI, based on VITS architecture, supporting high-quality speech synthesis

Vietnamese text-to-speech model developed by Meta, based on the VITS architecture, supporting high-quality speech synthesis

Malayalam text-to-speech model in Facebook's MMS project, implementing end-to-end speech synthesis based on VITS architecture

Bark is a Transformer-based multilingual text-to-audio model developed by Suno, capable of generating realistic speech, music, and non-verbal sounds

Greek text-to-speech model fine-tuned based on microsoft/speecht5_tts

A text-to-speech model fine-tuned on the Common Voice 13.0 Basque dataset based on Microsoft's SpeechT5 architecture

A text-to-speech model fine-tuned on the Slovak VoxPopuli dataset based on Microsoft's SpeechT5 architecture

Korean text-to-speech model from Meta's Massively Multilingual Speech project, supporting natural speech conversion from Korean text

Dutch text-to-speech model fine-tuned based on microsoft/speecht5_tts

Catalan text-to-speech model based on the SpeechT5 architecture, fine-tuned on the Common Voice 11.0 dataset