Published May 19, 2023
| Version v1
Conference paper
Open
Pengi 🐧: An Audio Language Model for Audio Tasks
Authors/Creators
- 1. Microsoft
- 2. Carnegie Mellon University
Description
Pengi is an Audio Language Model that leverages Transfer Learning by framing all audio tasks as text-generation tasks. It takes as input, an audio recording, and text, and generates free-form text as output. The unified architecture of Pengi enables open-ended tasks and close-ended tasks without any additional fine-tuning or task-specific extensions.
The code repository is: microsoft/Pengi: An Audio Language model for Audio Tasks (github.com)
Files
Files
(1.7 GB)
| Name | Size | |
|---|---|---|
|
md5:87550397e4cc3c1e34bde2fb765988e9
|
1.7 GB | Download |