23 citations · 37 across the 40 of their papers we have counts for
6 papers · 1 filter
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks
Chien-yu Huang, Wei-Chih Chen, Shu-wen Yang +77
Multimodal foundation models, such as Gemini and ChatGPT, have revolutionized human-machine interactions by seamlessly integrating various forms of data. Developing a universal spo…
ESPnet-EZ: Python-only ESPnet for Easy Fine-tuning and Integration
Masao Someki, Kwanghee Choi, Siddhant Arora +7
We introduce ESPnet-EZ, an extension of the open-source speech processing toolkit ESPnet, aimed at quick and easy development of speech models. ESPnet-EZ focuses on two major aspec…
On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models
Jinchuan Tian, Yifan Peng, William Chen +3
The Open Whisper-style Speech Model (OWSM) series was introduced to achieve full transparency in building advanced speech-to-text (S2T) foundation models. To this end, OWSM models…
Self-Supervised Speech Representations are More Phonetic than Semantic
Kwanghee Choi, Ankita Pasad, Tomohiko Nakamura +3
Self-supervised speech models (S3Ms) have become an effective backbone for speech applications. Various analyses suggest that S3Ms encode linguistic properties. In this work, we se…
Wav2Gloss: Generating Interlinear Glossed Text from Speech
Taiqi He, Kwanghee Choi, Lindia Tjuatja +6
Thousands of the world's languages are in danger of extinction--a tremendous threat to cultural identities and human language diversity. Interlinear Glossed Text (IGT) is a form of…
OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer
Yifan Peng, Jinchuan Tian, William Chen +9
Recent studies have highlighted the importance of fully open foundation models. The Open Whisper-style Speech Model (OWSM) is an initial step towards reproducing OpenAI Whisper usi…