https://github.com/declare-lab/speech-adapters
Codes and datasets for our ICASSP2023 paper, Evaluating parameter-efficient transfer learning approaches on SURE benchmark for speech understanding
https://github.com/declare-lab/speech-adapters
adapter asr speech-processing speech-recognition speech-synthesis speech-to-text tts
Last synced: 12 months ago
JSON representation
Codes and datasets for our ICASSP2023 paper, Evaluating parameter-efficient transfer learning approaches on SURE benchmark for speech understanding
- Host: GitHub
- URL: https://github.com/declare-lab/speech-adapters
- Owner: declare-lab
- License: mit
- Created: 2022-10-24T08:00:52.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-12T23:40:46.000Z (about 3 years ago)
- Last Synced: 2025-03-27T18:21:32.049Z (about 1 year ago)
- Topics: adapter, asr, speech-processing, speech-recognition, speech-synthesis, speech-to-text, tts
- Language: Python
- Homepage:
- Size: 2.17 MB
- Stars: 43
- Watchers: 2
- Forks: 8
- Open Issues: 1