Papers

Convolutional Transformer for Neural Speech Coding

International Conference
2021~
작성자
dsp
작성일
2023-10-16 18:49
조회
1633
Authors : Hong-Goo Kang, W. Bastiaan Kleijn, Jan Skoglund, Michael Chinen

Year : 2023

Publisher / Conference : Audio Engineering Society Convention

Research area : Speech Signal Processing, Coding

Presentation : None

In this paper, we propose a Convolutional-Transformer speech codec which utilizes stacks of convolutions and self-attention layers to remove redundant information at the downsampling and upsampling blocks of a U-Net-style encoder-decoder neural codec architecture. We design the Transformers to use channel and temporal attention with any number of attention stages and heads while maintaining causality. This allows us to take into consideration the characteristics of the input vectors and flexibly utilize temporal and channel-wise relationships at different scales when encoding the salient information that is present in speech. This enables our model to reduce the dimensionality of its latent embeddings and improve its quantization efficiency while maintaining quality. Experimental results demonstrate that our approach achieves significantly better performance than convolution-only baselines.
전체 368
368 International Journal Hyewon Han, Xiulian Peng, Doyeon Kim, Yan Lu, Hong-Goo Kang "Dual-Branch Guidance Encoder for Robust Acoustic Echo Suppression" in IEEE Transactions on Audio, Speech and Language Processing, 2024
367 International Journal Hyungseob Lim, Jihyun Lee, Byeong Hyeon Kim, Inseon Jang, Hong-Goo Kang "Perceptual Neural Audio Coding with Modified Discrete Cosine Transform" in IEEE Journal of Special Topics in Signal Processing (JSTSP), 2025
366 International Conference Juhwan Yoon, Hyungseob Lim, Hyeonjin Cha, Hong-Goo Kang "StylebookTTS: Zero-Shot Text-to-Speech Leveraging Unsupervised Style Representation" in APSIPA ASC, 2024
365 International Conference Doyeon Kim, Yanjue Song, Nilesh Madhu, Hong-Goo Kang "Enhancing Neural Speech Embeddings for Generative Speech Models" in APSIPA ASC, 2024
364 Domestic Conference 최웅집, 김병현, 강홍구 "자기 지도 학습 특징을 활용한 음성 신호의 논 블라인드 대역폭 확장" in 대한전자공학회 2024년도 하계종합학술대회, 2024
363 Domestic Conference 홍연아, 정우진, 강홍구 "효율적인 양자화 기법을 통한 DNN 기반 화자 인식 모델 최적화" in 대한전자공학회 2024년도 하계종합학술대회, 2024
362 Domestic Conference 김병현, 강홍구, 장인선 "저지연 조건하의 심층신경망 기반 음성 압축" in 한국방송·미디어공학회 2024년 하계학술대회, 2024
361 International Conference Miseul Kim, Soo-Whan Chung, Youna Ji, Hong-Goo Kang, Min-Seok Choi "Speak in the Scene: Diffusion-based Acoustic Scene Transfer toward Immersive Speech Generation" in INTERSPEECH, 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