most citedOne model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition

2 citations · 2 across the 1 of their papers we have counts for

collaborators

9 papers

cs.CL2024

TMT: Tri-Modal Translation between Speech, Image, and Text by Processing Different Modalities as Different Languages

Minsu Kim, Jee-weon Jung, Hyeongseop Rha +5

The capability to jointly process multi-modal information is becoming an essential task. However, the limited number of paired multi-modal data and the large computational requirem…

cs.CL2024

OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification

Yifan Peng, Yui Sudo, Muhammad Shakeel +1

There has been an increasing interest in large speech models that can perform multiple tasks in a single model. Such models usually adopt an encoder-decoder or decoder-only archite…

cs.SD2024

Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features?

Zakaria Aldeneh, Takuya Higuchi, Jee-weon Jung +6

Self-supervised features are typically used in place of filter-bank features in speaker verification models. However, these models were originally designed to ingest filter-bank fe…

cs.CL2024

AugSumm: towards generalizable speech summarization using synthetic labels from large language model

Jee-weon Jung, Roshan Sharma, William Chen +2

Abstractive speech summarization (SSUM) aims to generate human-like summaries from speech. Given variations in information captured and phrasing, recordings can be summarized in mu…

cs.SD2024

ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models

Jee-weon Jung, Wangyou Zhang, Jiatong Shi +5

This paper introduces ESPnet-SPK, a toolkit designed with several objectives for training speaker embedding extractors. First, we provide an open-source platform for researchers in…

cs.CL2024

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…