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20212025
most citedA Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

93 citations · 97 across the 7 of their papers we have counts for

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cs.CL2025

Calm-Whisper: Reduce Whisper Hallucination On Non-Speech By Calming Crazy Heads Down

Yingzhi Wang, Anas Alhmoud, Saad Alsahly +2

OpenAI's Whisper has achieved significant success in Automatic Speech Recognition. However, it has consistently been found to exhibit hallucination issues, particularly in non-spee…

cs.CL2025

ALAS: An Automatic Latent Alignment Score for Audio Language Models

Pooneh Mousavi, Yingzhi Wang, Mirco Ravanelli +1

Large Language Models (LLMs) are extended into Speech-LLMs, and the quality of the audio--text alignment they learn affects most downstream Spoken Language Understanding (SLU) beha…

cs.CL2024★ 1 cited

Open Universal Arabic ASR Leaderboard

Yingzhi Wang, Anas Alhmoud, Muhammad Alqurishi

In recent years, the enhanced capabilities of ASR models and the emergence of multi-dialect datasets have increasingly pushed Arabic ASR model development toward an all-dialect-in-…

cs.CL2023

Speech Emotion Diarization: Which Emotion Appears When?

Yingzhi Wang, Mirco Ravanelli, Alya Yacoubi

Speech Emotion Recognition (SER) typically relies on utterance-level solutions. However, emotions conveyed through speech should be considered as discrete speech events with defini…

cs.CL2021★ 93 cited

A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

Yingzhi Wang, Abdelmoumene Boumadane, Abdelwahab Heba

Speech self-supervised models such as wav2vec 2.0 and HuBERT are making revolutionary progress in Automatic Speech Recognition (ASR). However, they have not been totally proven to…