PaddleSpeech

PaddleSpeech is an open-source speech toolkit on PaddlePaddle providing state-of-the-art models for audio tasks.

PaddleSpeech is an open-source speech and audio toolkit built on the PaddlePaddle platform. It provides modules for tasks like automatic speech recognition, text-to-speech synthesis, speaker verification, keyword spotting, audio classification, and speech translation. The toolkit features mainstream models and datasets such as LibriSpeech, LJSpeech, and AIShell, alongside rule-based Chinese text processing and streaming capabilities. It is designed for developers, researchers, and engineers seeking to build production-ready speech applications. The software supports multiple interfaces including a command-line tool, Python API, and server deployments.

PaddleSpeech at a glance

Best for: Software engineer
Runs on: Linux, Windows, macOS, API, CLI, self-hosted, open source
Pricing: Free
Released: November 2017
Category: AI audio tool
Website: github.com/PaddlePaddle/PaddleSpeech

Key features

Automatic speech recognition with streaming support
Text-to-speech synthesis with text frontend
Speaker verification and voiceprint extraction
Audio and sound classification tools
Punctuation restoration for text output
End-to-end English to Chinese speech translation
Rule-based Chinese text normalization and G2P

Use it for

Transcribe audio recordings into text files
Synthesize natural speech audio from written text
Translate spoken English audio into Chinese text
Classify audio clips into predefined categories

Alternatives to PaddleSpeech

WeNet — Achieves state-of-the-art results on public speech datasets.
Speaches — It acts as an Ollama equivalent for running local TTS and STT models.
Moonshine — Runs entirely in your browser with no audio leaving your device.
Pipecat — Builds real-time voice and multimodal agents with frame-level control.
ESPnet — Provides reproducible recipes and hundreds of pretrained models for various speech tasks.
Superwhisper — Transcribes speech offline and online with custom AI modes and templates.
AssemblyAI — Industry-leading speech models deliver high accuracy and low latency for voice applications.
Vosk — It enables offline, low-latency speech recognition on small devices.
PaddleX — Provides standardized APIs and workflows for end-to-end model development.
sherpa-onnx — Runs complex audio AI tasks offline on local devices and embedded hardware.
Piper — Runs locally and offers fast neural text-to-speech synthesis.
FunASR — It supports offline, streaming, and edge deployment with multiple models.

All PaddleSpeech alternatives