Chinese 声音声音声音

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.

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.

Cross-modal Qwen3-TTS variant with FFN weights blended from the Qwen3-1.7B language model for sharper multilingual cloning.

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.

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

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

Compact 0.5B omni-modal speech model from inclusionAI with high-fidelity 44.1kHz output and zero-shot voice cloning.

Tiny 100M MOSS-TTS variant — same architecture, 80x smaller, free-tier latency.

Multi-speaker dialogue continuation model — generate podcast-style conversations with up to 5 speakers and 60 minutes of coherent audio.

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

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

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

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

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

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