English Voices

Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.

Lighter version of Bark with faster inference and lower memory usage.

State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.

Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.

Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.

Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.

Multi-speaker dialog generation model that creates natural conversations between speakers.

Streaming-first conversational TTS with multi-speaker dialogue and paralinguistic cues.

Achieves the lowest character error rate among open-source TTS models.

Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.

Zero-shot TTS with fine-grained emotion control and high expressiveness.

Ultra-lightweight TTS under 80MB. Runs on CPU without GPU.

Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.

ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity.

High-quality multilingual text-to-speech that runs on CPU with minimal latency.

Ultra-long 20-language TTS supporting up to 1 hour of continuous generation with phoneme-level control.

Instant voice cloning with granular control over style, emotion, and accent.

Human-level emotional TTS model trained on 100K hours of speech data.

LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.

Describe the voice you want in natural language and Parler generates matching speech.

A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.

Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.

Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.

Conversational speech model generating natural dialogue with appropriate timing and emotion.

Voice cloning TTS with controllable emotion and speaking style via prompts.

Human-level text-to-speech through style diffusion and adversarial training.

Zero-hallucination TTS with text-acoustic dual alignment, 5x faster than comparable LLM TTS.

Multi-voice text-to-speech focused on quality with autoregressive architecture.

Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.

Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.

Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.