Amazon
Principal Solutions Engineer
Knowles Intelligent Audio Jul 2015 - Apr 2018
Senior Principal Engineer, Algorithms and Standards
Knowles Intelligent Audio Nov 1, 2009 - Mar 30, 2018
Mobile Systems Architect
Motorola Sep 1999 - Nov 2009
Distinguished Member of the Technical Staff
Wright State University Jan 1997 - Sep 1999
Research Assistant Professor
Education:
Boston University 1991 - 1995
Doctorates, Doctor of Philosophy, Biomedical Engineering
Boston University 1989 - 1991
Master of Science, Masters, Biomedical Engineering
Massachusetts Institute of Technology 1979 - 1982
Stoneham High School
Skills:
Digital Signal Processors Embedded Systems Bluetooth Signal Processing Acoustics Algorithms Audio Processing Digital Signal Processing
Carlo Murgia - Sunnyvale CA, US Scott Isabelle - Sunnyvale CA, US
Assignee:
Audience, Inc. - Mountain View CA
International Classification:
G10L 21/02 G10L 15/20 G10L 21/00 G10L 19/00
US Classification:
704227, 704233, 7042701, 704500
Abstract:
Provided are methods and systems for enhancing the quality of voice communications. The method and corresponding system may involve classifying an audio signal into speech, and speech and noise and creating speech-noise classification data. The method may further involve sharing the speech-noise classification data with a speech encoder via a shared memory or by a Least Significant Bit (LSB) of a Pulse Code Modulation (PCM) stream. The method and corresponding system may also involve sharing acoustic cues with the speech encoder to improve the speech noise classification and, in certain embodiments, sharing scaling transition factors with the speech encoder to enable the speech encoder to gradually change data rate in the transitions between the encoding modes.
Post-Noise Suppression Processing To Improve Voice Quality
Carlo Murgia - Sunnyvale CA, US Scott Isabelle - Sunnyvale CA, US
International Classification:
G10L 21/02
US Classification:
704228, 704E21002
Abstract:
Provided are methods and systems for improving quality of speech communications. The method may be for improving quality of speech communications in a system having a speech encoder configured to encode a first audio signal using a first set of encoding parameters associated with a first noise suppressor. A method may involve receiving a second audio signal at a second noise suppressor which provides much higher quality noise suppression than the first noise suppressor. The second audio signal may be generated by a single microphone or a combination of multiple microphones. The second noise suppressor may suppress the noise in the second audio signal to generate a processed signal which may be sent to a speech encoder. A second set of encoding parameters may be provided by the second noise suppressor for use by the speech encoder when encoding the processed signal into corresponding data.
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