Using Intermicrophone Correlation to Detect Speech in Spatially Separated Noise
This paper describes a system for determining intervals of "high" and "low" signal-to-noise ratios when the desired signal and interfering noise arise from distinct spatial regions. The correlation coefficient between two microphone signals serves as the decision variable in a hy...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer
2012
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| Online Access: | http://hdl.handle.net/1721.1/70526 https://orcid.org/0000-0001-6764-8942 |
| _version_ | 1826194809354715136 |
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| author | Koul, Ashish Greenberg, Julie E. |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Koul, Ashish Greenberg, Julie E. |
| author_sort | Koul, Ashish |
| collection | MIT |
| description | This paper describes a system for determining intervals of "high" and "low" signal-to-noise ratios when the desired signal and interfering noise arise from distinct spatial regions. The correlation coefficient between two microphone signals serves as the decision variable in a hypothesis test. The system has three parameters: center frequency and bandwidth of the bandpass filter that prefilters the microphone signals, and threshold for the decision variable. Conditional probability density functions of the intermicrophone correlation coefficient are derived for a simple signal scenario. This theoretical analysis provides insight into optimal selection of system parameters. Results of simulations using white Gaussian noise sources are in close agreement with the theoretical results. Results of more realistic simulations using speech sources follow the same general trends and illustrate the performance achievable in practical situations. The system is suitable for use with two microphones in mild-to-moderate reverberation as a component of noise-reduction algorithms that require detecting intervals when a desired signal is weak or absent. |
| first_indexed | 2024-09-23T10:02:08Z |
| format | Article |
| id | mit-1721.1/70526 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:02:08Z |
| publishDate | 2012 |
| publisher | Springer |
| record_format | dspace |
| spelling | mit-1721.1/705262022-09-26T15:18:59Z Using Intermicrophone Correlation to Detect Speech in Spatially Separated Noise Koul, Ashish Greenberg, Julie E. Harvard University--MIT Division of Health Sciences and Technology Greenberg, Julie E. This paper describes a system for determining intervals of "high" and "low" signal-to-noise ratios when the desired signal and interfering noise arise from distinct spatial regions. The correlation coefficient between two microphone signals serves as the decision variable in a hypothesis test. The system has three parameters: center frequency and bandwidth of the bandpass filter that prefilters the microphone signals, and threshold for the decision variable. Conditional probability density functions of the intermicrophone correlation coefficient are derived for a simple signal scenario. This theoretical analysis provides insight into optimal selection of system parameters. Results of simulations using white Gaussian noise sources are in close agreement with the theoretical results. Results of more realistic simulations using speech sources follow the same general trends and illustrate the performance achievable in practical situations. The system is suitable for use with two microphones in mild-to-moderate reverberation as a component of noise-reduction algorithms that require detecting intervals when a desired signal is weak or absent. National Institute on Deafness and Other Communication Disorders (U.S.) National Institute on Deafness and Other Communication Disorders (U.S.) (Grant 1-R01-DC00117) 2012-05-07T19:09:36Z 2012-05-07T19:09:36Z 2006-03 2006-04 2012-03-16T18:03:16Z Article http://purl.org/eprint/type/JournalArticle 1110-8657 1687-0433 http://hdl.handle.net/1721.1/70526 Koul, Ashish, and Julie E. Greenberg. “Using Intermicrophone Correlation to Detect Speech in Spatially Separated Noise.” EURASIP Journal on Advances in Signal Processing 2006 (2006): 1–15. Web. https://orcid.org/0000-0001-6764-8942 en http://dx.doi.org/10.1155/ASP/2006/93920 EURASIP Journal on Advances in Signal Processing et al.; licensee BioMed Central Ltd. application/pdf Springer |
| spellingShingle | Koul, Ashish Greenberg, Julie E. Using Intermicrophone Correlation to Detect Speech in Spatially Separated Noise |
| title | Using Intermicrophone Correlation to Detect Speech in Spatially Separated Noise |
| title_full | Using Intermicrophone Correlation to Detect Speech in Spatially Separated Noise |
| title_fullStr | Using Intermicrophone Correlation to Detect Speech in Spatially Separated Noise |
| title_full_unstemmed | Using Intermicrophone Correlation to Detect Speech in Spatially Separated Noise |
| title_short | Using Intermicrophone Correlation to Detect Speech in Spatially Separated Noise |
| title_sort | using intermicrophone correlation to detect speech in spatially separated noise |
| url | http://hdl.handle.net/1721.1/70526 https://orcid.org/0000-0001-6764-8942 |
| work_keys_str_mv | AT koulashish usingintermicrophonecorrelationtodetectspeechinspatiallyseparatednoise AT greenbergjuliee usingintermicrophonecorrelationtodetectspeechinspatiallyseparatednoise |