Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

A high-performance, cross-platform TTS synthesis solution powered by ONNX Runtime, featuring support for streaming output and low-latency playback, as well as custom voice profiles and mixed Chinese-English generation. 基于 ONNX Runtime 的跨平台高性能 TTS 合成方案，支持流式输出与低延迟播放，支持自定义音色与中英混合生成。

Get started using Deepgram's Live Text-to-Speech with this Node demo app

Get started using Deepgram's Live Text-to-Speech with this Flask demo app

Get started using Deepgram's Live Text-to-Speech with this Go demo app

Get started using Deepgram's Live Text-to-Speech with this Bun demo app

Get started using Deepgram's Live TTS with this FastAPI demo app

Get started using Deepgram's Live TTS with this Deno demo app

Get started using Deepgram's Live TTS with this Django demo app

Get started using Deepgram's Live Text-to-Speech with this Java demo app

Get started using Deepgram's Live Text-to-Speech with this C++ demo app

Get started using Deepgram's Live Text-to-Speech with this Rust demo app

Real chunk-level streaming for Qwen3-TTS on MLX (first audio in ~317ms)

Enable real-time text-to-speech conversion using Deepgram's API with a simple demo app built for quick local development.

Get started using Deepgram's Live Text-to-Speech with this PHP demo app

Privacy-first local voice assistant with streaming LLM-to-TTS pipeline

HAL 9000 voice cloning with Qwen3-TTS streaming - OpenAI-compatible REST API

Get started using Deepgram's Live Text-to-Speech with this Ruby demo app