Speech Bandwidth Extension using Temporal Envelope Modeling

International Journal
2008-05-01 14:20
Authors : Kyung-Tae Kim, Min-Ki Lee, Hong-Goo Kang

Year : 2008

Publisher / Conference : IEEE Signal Processing Letters

Volume : 15

Page : 429-432

Speech bandwidth extension (SBE) assumes that high-frequency components of a speech signal, e.g., the frequency band of 4-7 kHz, can be estimated by parameters extracted from the narrowband signal (0-4 kHz). Therefore, it is very important to understand the characteristics of the highband signal as well as perceptual cues to represent the highband signal. This letter proposes a new SBE algorithm using a temporal envelope model. The temporal envelope model considers band-limited temporal envelopes as the perceptual cue of the 4-7 kHz band signal while it deemphasizes the importance of rapidly varying components. To implement the SBE with no additional bits, the proposed method adopts a Gaussian mixture model (GMM) to estimate the temporal envelope of the highband signal from that of the narrowband one. Simulation results confirm that the proposed SBE algorithm shows better perceptual quality than a conventional source-filter model-based approach.
전체 360
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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
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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
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352 International Conference Juhwan Yoon, Seyun Um, Woo-Jin Chung, Hong-Goo Kang "SC-ERM: Speaker-Centric Learning for Speech Emotion Recognition" in International Conference on Electronics, Information, and Communication (ICEIC), 2024
351 International Conference Hejung Yang, Hong-Goo Kang "On Fine-Tuning Pre-Trained Speech Models With EMA-Target Self-Supervised Loss" in ICASSP, 2024