Text-to-Speech (TTS) AI Tools
Open-source text-to-speech engines and models for generating natural-sounding speech from text input.
Open-source text-to-speech engines and models for generating natural-sounding speech from text input.
Lightweight and expressive TTS model with 82M parameters for fast local inference.
Transformer-based text-to-audio model by Suno that generates speech, music, and sound effects.
Few-shot voice cloning and TTS combining GPT and SoVITS architectures.
Multilingual TTS with zero-shot voice cloning and streaming support.
Deep learning TTS library by Mozilla with Tacotron and WaveRNN implementations.
Zero-shot TTS model with high naturalness and speaker similarity.
Real-time voice cloning and TTS model with 1.2B parameters by MetaVoice.
Cross-lingual neural codec language model for speech synthesis.
Instant voice cloning TTS by MyShell requiring only a short audio reference.
Speech-text foundation model for full-duplex real-time spoken dialogue with neural audio codec.
Fast TTS with conditional flow matching for efficient speech synthesis.
Singing voice conversion model based on VITS and SoftVC for voice-to-voice transfer.
Large-scale multilingual TTS model by Alibaba with zero-shot voice cloning.
University of Edinburgh speech synthesis system with decades of research behind it.
Expressive zero-shot TTS model by Resemble AI with emotion and accent control.
High-quality multilingual TTS library by MyShell with fast CPU inference.
Text-to-speech system built on top of Whisper encoder representations.
Diffusion transformer text-to-speech model using flow matching for fluent, faithful speech.
Style diffusion and adversarial training for human-level TTS with style transfer.
Cross-platform TTS using ONNX Runtime for on-device speech synthesis.
Zero-shot speech editing and TTS using neural codec language models.
Coqui deep learning toolkit for text-to-speech with pretrained models in 1100+ languages.
Conversational TTS model optimized for dialogue and chat applications.
Compact variant of Fish Speech optimized for faster inference.
Compact open-source speech synthesizer supporting 100+ languages.
Open-source TTS model by Resemble AI with emotion and accent control.
Multilingual large voice generation model with full-stack inference, training, and deployment.
Privacy-focused neural TTS engine by Mycroft AI for offline voice assistants.
Multi-voice TTS system with emphasis on quality over speed.
TTS model that generates speech from text descriptions of the desired voice.
Neural TTS model by Microsoft with expressive speech synthesis.
Emotion-controllable TTS engine by NetEase with 2000+ voices.
Lightweight neural TTS model optimized for edge and mobile deployment.
Open-source dialogue TTS model by Nari Labs supporting multi-speaker conversations.
Pure language modeling approach to TTS without traditional audio codecs.