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20162026
most citedUniversal Phone Recognition with a Multilingual Allophone System

7 citations · 19 across the 19 of their papers we have counts for

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30 papers · 1 filter

cs.CL2026

Multilingual Dysarthric Speech Assessment Using Universal Phone Recognition and Language-Specific Phonemic Contrast Modeling

Eunjung Yeo, Julie M. Liss, Visar Berisha +1

The growing prevalence of neurological disorders associated with dysarthria motivates the need for automated intelligibility assessment methods that are applicalbe across languages…

cs.CL2026

Linear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration

Ryan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang +8

Multilingual speech foundation models such as Whisper are trained on web-scale data, where data for each language consists of a myriad of regional varieties. However, different reg…

cs.CL2025

POWSM: A Phonetic Open Whisper-Style Speech Foundation Model

Chin-Jou Li, Kalvin Chang, Shikhar Bharadwaj +5

Recent advances in spoken language processing have led to substantial progress in phonetic tasks such as automatic speech recognition (ASR), phone recognition (PR), grapheme-to-pho…

cs.CL2025

ZIPA: A family of efficient models for multilingual phone recognition

Jian Zhu, Farhan Samir, Eleanor Chodroff +1

We present ZIPA, a family of efficient speech models that advances the state-of-the-art performance of crosslinguistic phone recognition. We first curated IPAPack++, a large-scale…

cs.CL2025

PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics

Atharva Naik, Prakam, Yash Mathur +6

Although many benchmarks evaluate the reasoning abilities of Large Language Models (LLMs) within domains such as mathematics, coding, or data wrangling, few abstract away from doma…

cs.CL2025

Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages

Chin-Jou Li, Eunjung Yeo, Kwanghee Choi +7

Automatic speech recognition (ASR) for dysarthric speech remains challenging due to data scarcity, particularly in non-English languages. To address this, we fine-tune a voice conv…