microsoft / PengiLinks
An Audio Language model for Audio Tasks
☆318Updated last year
Alternatives and similar repositories for Pengi
Users that are interested in Pengi are comparing it to the libraries listed below
Sorting:
- Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".☆464Updated last year
- This reporsitory contains metadata of WavCaps dataset and codes for downstream tasks.☆253Updated last year
- 🔊 Repository for our NAACL-HLT 2019 paper: AudioCaps☆201Updated 3 months ago
- Keep track of big models in audio domain, including speech, singing, music etc.☆505Updated last year
- AudioBench: A Universal Benchmark for Audio Large Language Models☆291Updated 6 months ago
- Audio Captioning datasets for PyTorch.☆125Updated 5 months ago
- An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-S…☆414Updated 2 years ago
- This is the code for the SpeechTokenizer presented in the SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. Samples a…☆640Updated last year
- VoiceLDM: Text-to-Speech with Environmental Context☆190Updated last year
- Dataset and baseline code for the VocalSound dataset (ICASSP2022).☆157Updated 3 years ago
- Code for the paper: GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities☆149Updated last year
- [IJCAI 2024] EAT: Self-Supervised Pre-Training with Efficient Audio Transformer☆212Updated last month
- Paper, Code and Statistics for Self-Supervised Learning and Pre-Training on Speech.☆210Updated last year
- This repo hosts the code and model of "Separate What You Describe: Language-Queried Audio Source Separation", Interspeech 2022☆145Updated 2 years ago
- [INTERSPEECH 2024] EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark☆302Updated 9 months ago
- A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models (ICASSP 2024)☆58Updated last year
- AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension☆124Updated last year
- Audio Codec Speech processing Universal PERformance Benchmark