Papers

A cross-talk robust multichannel VAD model for multiparty agent interactions trained using synthetic re-recordings

International Conference
2021~
작성자
dsp
작성일
2024-01-31 11:13
조회
497
Authors : Hyewon Han, Naveen Kumar

Year : 2024

Publisher / Conference : Hands-free Speech Communication and Microphone Arrays (HSCMA, Satellite workshop in ICASSP)

Research area : Speech Signal Processing, Speech Enhancement

Presentation/Publication date : 2024.04.15

Related project : Internship at Disney Research

Presentation : Poster

In this work, we propose a novel cross-talk rejection framework for a multi-channel multi-talker setup for a live multiparty interactive show. Our far-field audio setup is required to be hands-free during live interaction and comprises four adjacent talkers with directional microphones in the same space. Such setups often introduce heavy cross-talk between channels, resulting in reduced automatic speech recognition (ASR) and natural language understanding (NLU) performance. To address this problem, we propose voice activity detection (VAD) model for all talkers using multichannel information, which is then used to filter audio for downstream tasks. We adopt a synthetic training data generation approach through playback and re-recording for such scenarios, simulating challenging speech overlap conditions. We train our models on this synthetic data and demonstrate that our approach outperforms single-channel VAD models and energy-based multi-channel VAD algorithm in various acoustic environments. In addition to VAD results, we also present multiparty ASR evaluation results to highlight the impact of using our VAD model for filtering audio in downstream tasks by significantly reducing the insertion error.
전체 363
363 Domestic Conference 최웅집, 김병현, 강홍구 "자기 지도 학습 특징을 활용한 음성 신호의 논 블라인드 대역폭 확장" in 대한전자공학회 2024년도 하계종합학술대회, 2024
362 Domestic Conference Yeona Hong, Woo-Jin Chung, Hong-Goo Kang "효율적인 양자화 기법을 통한 DNN 기반 화자 인식 모델 최적화" in 대한전자공학회 2024년도 하계종합학술대회, 2024
361 Domestic Conference 김병현, 강홍구, 장인선 "저지연 조건하의 심층신경망 기반 음성 압축" in 한국방송·미디어공학회 2024년 하계학술대회, 2024
360 International Conference Seyun Um, Doyeon Kim, Hong-Goo Kang "PARAN: Variational Autoencoder-based End-to-End Articulation-to-Speech System for Speech Intelligibility" in INTERSPEECH, 2024
359 International Conference Jihyun Kim, Stijn Kindt, Nilesh Madhu, Hong-Goo Kang "Enhanced Deep Speech Separation in Clustered Ad Hoc Distributed Microphone Environments" in INTERSPEECH, 2024
358 International Conference Woo-Jin Chung, Hong-Goo Kang "Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator" in INTERSPEECH, 2024
357 International Conference Juhwan Yoon, Woo Seok Ko, Seyun Um, Sungwoong Hwang, Soojoong Hwang, Changhwan Kim, Hong-Goo Kang "UNIQUE : Unsupervised Network for Integrated Speech Quality Evaluation" in INTERSPEECH, 2024
356 International Conference Yanjue Song, Doyeon Kim, Hong-Goo Kang, Nilesh Madhu "Spectrum-aware neural vocoder based on self-supervised learning for speech enhancement" in EUSIPCO, 2024
355 International Conference Hyewon Han, Naveen Kumar "A cross-talk robust multichannel VAD model for multiparty agent interactions trained using synthetic re-recordings" in Hands-free Speech Communication and Microphone Arrays (HSCMA, Satellite workshop in ICASSP), 2024
354 International Conference Yanjue Song, Doyeon Kim, Nilesh Madhu, Hong-Goo Kang "On the Disentanglement and Robustness of Self-Supervised Speech Representations" in International Conference on Electronics, Information, and Communication (ICEIC) (*awarded Best Paper), 2024