https://github.com/grokify/gospeech
Diarization tools for speech recognition
https://github.com/grokify/gospeech
Last synced: 2 months ago
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Diarization tools for speech recognition
- Host: GitHub
- URL: https://github.com/grokify/gospeech
- Owner: grokify
- License: apache-2.0
- Created: 2019-09-11T05:53:03.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2024-10-07T14:00:15.000Z (9 months ago)
- Last Synced: 2024-10-12T00:48:12.153Z (9 months ago)
- Language: Go
- Homepage:
- Size: 14.4 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Go Speech
[![Build Status][build-status-svg]][build-status-link]
[![Go Report Card][goreport-svg]][goreport-link]
[![Docs][docs-godoc-svg]][docs-godoc-link]
[![License][license-svg]][license-link]
Tools to test diarization for speech-to-text voice recognition systems.
Initially, it is designed to convert transcripts from TranscribeMe.com to [Rich Transcription Time Marked (RTTM) files](https://github.com/nryant/dscore#rttm). You can read more from the following diarization evaluation tool:
* https://github.com/nryant/dscore
Install the following Python pre-requisites before running dscore:
```
$ pip install tabulate intervaltree numpy scipy
```
## Usage
See the following example:
[`mongodb-is-web-scale`](data/mongodb-is-web-scale)
[build-status-svg]: https://github.com/grokify/goauth/workflows/test/badge.svg
[build-status-link]: https://github.com/grokify/gospeech/actions/workflows/test.yaml
[goreport-svg]: https://goreportcard.com/badge/github.com/grokify/gospeech
[goreport-link]: https://goreportcard.com/report/github.com/grokify/gospeech
[docs-godoc-svg]: https://img.shields.io/badge/docs-godoc-blue.svg
[docs-godoc-link]: https://godoc.org/github.com/grokify/gospeech
[license-svg]: https://img.shields.io/badge/license-MIT-blue.svg
[license-link]: https://github.com/grokify/gospeech/blob/master/LICENSE