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espnet

espnet/espnet

End-to-End Speech Processing Toolkit

GitHub Website

GraphCanon updated 3w · GitHub synced 3w · 25 views this month

9.9k stars2.4k forksLast push 3w Python Apache-2.0

Decision brief

ESPNet is an End-to-End Speech Processing Toolkit that employs deep learning models for tasks including speech recognition and synthesis.

Good fit when

When you require comprehensive tools for end-to-end speech processing tasks such as speech recognition, synthesis, translation, and speaker diarization.
If your project involves working with Chainer or PyTorch frameworks for experimenting with DNN training in the domain of speech technology.

Avoid when

If you are working on tasks unrelated to speech or audio processing, such as computer vision, NLP, or any other deep learning areas outside of ESPNet's focus.
Your development environment is limited to languages other than Python or frameworks that do not support Chainer or PyTorch, which are foundational to espnet.

Observed Jul 17, 2026 · Source: enrich:decision_facts

espnet alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of 3w
Provenance: Not a fork · Organization account; As of 3w
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install espnet

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

ESPNet offers tools for speech recognition, synthesis, translation, and more tasks employing deep learning models via Python.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Jul 29, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 29, 2026)

- If you just need the Python module only:

Source link

README

Installation

If you intend to do full experiments, including DNN training, then see Installation.

If you just need the Python module only:

# We recommend you install PyTorch before installing espnet following https://pytorch.org/get-started/locally/
pip install espnet
# To install the latest
# pip install git+https://github.com/espnet/espnet
# To install additional packages
# pip install "espnet[all]"

If you use ESPnet1, please install chainer and cupy.

pip install chainer==6.0.0 cupy==6.0.0    # [Option]

You might need to install some packages depending on each task. We prepared various installation scripts at tools/installers.

(ESPnet2) Once installed, run wandb login and set --use_wandb true to enable tracking runs using W&B.

Docker Container

go to docker/ and follow instructions.

For agents

This page has a .md twin and JSON over the API.

/tools/espnet-espnet.md GET /api/graphcanon/tools/espnet-espnet GET /api/graphcanon/graph?tool=espnet-espnet