Speech bandwidth extension using temporal envelope modeling

Kyung Tae Kim, Min Ki Lee, Hong Goo Kang

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)429-432
Number of pages4
JournalIEEE Signal Processing Letters
Volume15
DOIs
Publication statusPublished - 2008 Dec 1

Fingerprint

Envelope
Bandwidth
Modeling
Speech Signal
Gaussian Mixture Model
Frequency bands
Speech
Model-based
Filter
Model
Estimate
Simulation

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

@article{95c310fde8c445ef83add77efc4f7280,
title = "Speech bandwidth extension using temporal envelope modeling",
abstract = "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.",
author = "Kim, {Kyung Tae} and Lee, {Min Ki} and Kang, {Hong Goo}",
year = "2008",
month = "12",
day = "1",
doi = "10.1109/LSP.2008.922520",
language = "English",
volume = "15",
pages = "429--432",
journal = "IEEE Signal Processing Letters",
issn = "1070-9908",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

Speech bandwidth extension using temporal envelope modeling. / Kim, Kyung Tae; Lee, Min Ki; Kang, Hong Goo.

In: IEEE Signal Processing Letters, Vol. 15, 01.12.2008, p. 429-432.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Speech bandwidth extension using temporal envelope modeling

AU - Kim, Kyung Tae

AU - Lee, Min Ki

AU - Kang, Hong Goo

PY - 2008/12/1

Y1 - 2008/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=67650170786&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67650170786&partnerID=8YFLogxK

U2 - 10.1109/LSP.2008.922520

DO - 10.1109/LSP.2008.922520

M3 - Article

AN - SCOPUS:67650170786

VL - 15

SP - 429

EP - 432

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

SN - 1070-9908

ER -