# DEPRECATION NOTICE **This project is [deprecated](https://github.com/RustAudio/deepspeech-rs/issues/48) in favour of [coqui-stt](https://github.com/tazz4843/coqui-stt). Please use that project instead.** # deepspeech-rs [![docs](https://docs.rs/deepspeech/badge.svg)](https://docs.rs/crate/deepspeech) [![crates.io](https://img.shields.io/crates/v/deepspeech.svg)](https://crates.io/crates/deepspeech) Rust bindings of [Mozilla's DeepSpeech](https://github.com/mozilla/DeepSpeech) library. The library is open source and performs Speech-To-Text completely offline. They provide pretrained models for English. ## Quickstart Preparation: 1. Obtain the Deepspeech `native_client` library. The [release announcement] contains precompiled libraries for various targets. 2. Download the pretrained models named like `deepspeech-{version}-models.tar.gz` from the release announcement and extract the zip file to some location. 3. Add the directory where the `native_client` library lies to your `LD_LIBRARY_PATH` and `LIBRARY_PATH` environment variables. You can now invoke the example via: ``` cargo run --release --example client ``` It will print out the recognized sequence on stdout. The format of the audio files is important: only mono files are supported for now. All codecs that the awesome [audrey](https://github.com/RustAudio/audrey) library supports are supported. See DeepSpeech's [release announcement] for more. [release announcement]: https://github.com/mozilla/DeepSpeech/releases/tag/v0.9.0 ## Supported versions of DeepSpeech We currently support version `0.9.0` of the DeepSpeech library. We will always try to provide compatibility with the most recent release possible. ## License Licensed under Apache 2 or MIT (at your option). For details, see the [LICENSE](LICENSE) file. All examples inside the `examples/` folder are licensed under the [CC-0](https://creativecommons.org/publicdomain/zero/1.0/) license. The generated bindings (`sys` subdirectory in git, `-sys` crate on crates.io) fall under the Mozilla Public License, version 2.0. ### License of your contributions Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed / CC-0 licensed as above, without any additional terms or conditions.