Spectro-temporal analysis of speech using 2-d Gabor filters
Abstract
We present a 2-D spectro-temporal Gabor filterbank based on the 2-D Fast Fourier Transform, and show how it may be used to analyze localized patches of a spectrogram. We argue that the 2-D Gabor filterbank has the capacity to decompose a patch into its underlying dominant spectro-temporal components, and we illustrate the response of our filterbank to different speech phenomena such as harmonicity, formants, vertical onsets/offsets, noise, and overlapping simultaneous speakers. Index Terms: speech analysis, spectro-temporal filterbanks, 2-D Gabor
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Some recent methods in acoustic processing use Gabor-filter banks on sound spectra as a preprocessing step and achieve accurate results on acoustic processing tasks such as classification of environmental sounds, music genre recognition, and speech analysis.
“some recent methods in acoustic processing use Gabor-filter banks on the sound spectra as a preprocessing step, achieving accurate results on acoustic processing tasks, such as the classification of environmental sounds [41], music genre recognition [42], and speech analysis [43,44], to cite a few”
From A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance (2022) · cites this paper as [43]
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References 7 · Cited by 66
- Authors
- Ezzat, T., Bouvrie, J., & Poggio, T.
- Affiliations
- Massachusetts Institute of Technology (US)
- ORCID
- Poggio, Tomaso
- Venue
- Interspeech 2007
- Publisher
- ISCA
- Published
- 2007-08-27
- Pages
- 506-509
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W1541452272
- Cited by
- 66
- References
- 7
- Citations by year
- 2022: 3 · 2021: 1 · 2019: 4 · 2018: 3 · 2017: 4 · 2016: 2 · 2015: 9 · 2014: 7 · 2013: 3 · 2012: 7
- FWCI
- 4.95
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Interspeech (USB) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
- Keywords
- spectro-temporal analysis, speech analysis, spectrogram, harmonicity, formants
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