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researcher

Seungkwon Beack

4 papers hereh-index 8232 citations42 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.AS4

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedCascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding

13 citations · 13 across the 4 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

eess.AS2020

Source-Aware Neural Speech Coding for Noisy Speech Compression

Haici Yang, Kai Zhen, Seungkwon Beack +1

This paper introduces a novel neural network-based speech coding system that can process noisy speech effectively. The proposed source-aware neural audio coding (SANAC) system harm…

eess.AS2020

Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization

Kai Zhen, Mi Suk Lee, Jongmo Sung +2

Scalability and efficiency are desired in neural speech codecs, which supports a wide range of bitrates for applications on various devices. We propose a collaborative quantization…

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