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Yizhou Lu

5 accepted papers

2026

Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better

ICML 2026poster

Conformal prediction (CP) has become a cornerstone of distribution-free uncertainty quantification, conventionally evaluated by its coverage and interval length. This work critically examines the sufficiency of these standard metrics. We demonstrate that the interval length might be deceptively impr…

Cited by 0SourceScholar
2022

Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks

ICASSP 2022accepted

Unsupervised cross-lingual speech representation learning (XLSR) has recently shown promising results in speech recognition by leveraging vast amounts of unlabeled data across multiple languages. However, standard XLSR model suffers from language interference problem due to the lack of language spec…

Cited by 0SourceScholar
2021

AISpeech-SJTU ASR System for the Accented English Speech Recognition Challenge

ICASSP 2021accepted

This paper describes the AISpeech-SJTU ASR system for the Interspeech-2020 Accented English Speech Recognition Challenge (AESRC). This task is challenging due to the diversity of pronunciation accuracy, intonation speed and pronunciation of some syllables. All participants were restricted to develop…

Cited by 0SourceScholar
2021

The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods

ICASSP 2021accepted

The variety of accents has posed a big challenge to speech recognition. The Accented English Speech Recognition Challenge (AESRC2020) is designed for providing a common testbed and promoting accent-related research. Two tracks are set in the challenge – English accent recognition (track 1) and accen…

Cited by 0SourceScholar
2021

Towards Data Selection on TTS Data for Children's Speech Recognition

ICASSP 2021accepted

Although great progress has been made on automatic speech recognition (ASR) systems, children’s speech recognition still remains a challenging task. General ASR systems for children’s speech suffer from the lack of corpora and mismatch between children’s and adults’ speech. Efforts have been made to…

Cited by 0SourceScholar