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20172026
most citedESPnet: End-to-End Speech Processing Toolkit

74 citations · 104 across the 25 of their papers we have counts for

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2 papers · 1 filter

cs.CL2026

ASSET: Adaptive Speech Segmentation via Reinforcement Learning

Cihan Xiao, Yuan Tseng, Matthew Wiesner +4

Speech large language models (LLMs) are often built using pretrained acoustic encoders as an audio interface to an LLM decoder. However, LLMs scale poorly with input sequence lengt…

eess.AS2026

Code-Switching Spoken Language Identification as Multi-Label Set Prediction

Shunsuke Mitsumori, Matthew Wiesner, Shigeo Morishima +1

Code-switched (CS) speech leaks through the monolingual language identification (LID) filters used to curate massive speech corpora, calling for CS-aware LID (CS-LID). We formulate…