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Paddlespeech

Paddlespeech is an open-source Python toolkit built on PaddlePaddle for speech recognition, speech synthesis, translation, speaker-related tasks, keyword spotting and audio classification.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Paddlespeech — OpenViST project profile in Audio & Voice AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Paddlespeech when building software that needs speech or audio processing with a PaddlePaddle-based Python toolkit, especially when command-line, Python and documented server workflows are relevant.

Who it is for

  • Developers adding speech recognition or synthesis to an application.
  • Teams building streaming speech services or speech translation workflows.
  • Developers needing audio classification, voiceprint extraction, speaker verification or keyword spotting.

Documented uses

  • Transcribe audio through a command-line or Python workflow.
  • Generate WAV speech audio from text.
  • Set up client access to documented recognition, synthesis or classification services.
  • Process audio for classification, speech translation, speaker verification or keyword spotting.
Before you choose

Requirements & limits

The project is open source under the Apache-2.0 license. The README lists Linux, Windows and macOS, recommends Linux, and requires Python 3.8 or later.

  • PaddlePaddle is a required dependency, and the project points users to its installation guidance for machine-specific selection.
  • The README recommends Linux even though Windows and macOS are also listed.
  • The documented quick-start audio input is 16 kHz WAV.
  • Installation is available through pip or source compilation; source compilation is recommended in the README.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Paddlespeech from source

Prepare a source-code installation of the toolkit.

Before you start

  • Python 3.8 or later
  • GCC 4.8.5 or later
  • PaddlePaddle installed for the target machine
  • Linux is recommended; Windows and macOS are also listed

Steps

  1. Choose and install a suitable PaddlePaddle package using the project's referenced installation guidance.

  2. Clone the PaddleSpeech repository and change into its directory.

  3. Install pytest-runner, then run pip install .

Expected outcome

The documented source-installation steps install PaddleSpeech in the current environment.

Guide limitations

  • The README recommends source compilation but notes that installation can involve additional issues such as conda, librosa, GCC or Kaldi dependencies.
  • For editable installation, the README specifies pip install -e . --use-pep517.
Documentation 1 ↗
Source-based practical guide

Run a command-line speech recognition example

Use the documented command-line interface to transcribe a 16 kHz WAV file.

Before you start

  • PaddleSpeech and its PaddlePaddle dependency installed
  • A 16 kHz WAV audio file

Steps

  1. Provide a WAV file as the command's input.

  2. Run paddlespeech asr --lang zh --input zh.wav, replacing the input path with the audio file to use.

Expected outcome

The command-line recognition workflow returns a transcription for the supplied audio.

Guide limitations

  • The example specifies Chinese with --lang zh.
  • The README identifies 16 kHz WAV as supported input.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
PaddlePaddle/PaddleSpeech · Official homepage title · retained in its source language
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