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Hung-yi Lee

16 papers hereh-index 6136 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author9

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • eess.AS9
  • cs.SD5
  • cs.CL2
same name
  • Hung-yi Lee — 201 papers, h 53
  • Hung-yi Lee — 44 papers, h 11
  • Hung-Yi Lee — 16 papers, h 4
  • Hung-yi Lee — 16 papers, h 11
  • Hung-yi Lee — 14 papers, h 10
  • Hung-yi Lee — 14 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedInvestigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR and Speech-to-text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision

1 citations · 3 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

eess.AS2023★ 1 cited

Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR and Speech-to-text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision

Chih-Kai Yang, Kuan-Po Huang, Ke-Han Lu +3

This work evaluated several cutting-edge large-scale foundation models based on self-supervision or weak supervision, including SeamlessM4T, SeamlessM4T v2, and Whisper-large-v3, o…

cs.SD2023

Noise robust distillation of self-supervised speech models via correlation metrics

Fabian Ritter-Gutierrez, Kuan-Po Huang, Dianwen Ng +4

Compared to large speech foundation models, small distilled models exhibit degraded noise robustness. The student's robustness can be improved by introducing noise at the inputs du…

eess.AS2023

Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages

Kuan-Po Huang, Chih-Kai Yang, Yu-Kuan Fu +2

We introduce a new zero resource code-switched speech benchmark designed to directly assess the code-switching capabilities of self-supervised speech encoders. We showcase a baseli…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.