J
Jeremy Toman
Researcher at Qualcomm
Publications - 25
Citations - 1297
Jeremy Toman is an academic researcher from Qualcomm. The author has contributed to research in topics: Signal & Audio signal. The author has an hindex of 13, co-authored 25 publications receiving 1297 citations. Previous affiliations of Jeremy Toman include University of California.
Papers
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Patent
Robust separation of speech signals in a noisy environment
TL;DR: In this paper, a method for improving the quality of a speech signal extracted from a noisy acoustic environment is provided, where a signal separation process (180) is associated with a voice activity detector (185).
Patent
Headset for separation of speech signals in a noisy environment
TL;DR: In this paper, a headset is constructed to generate an acoustically distinct speech signal in a noisy acoustic environment, where a pair of spaced-apart microphones are placed near a user's mouth.
Patent
Systems, methods, and apparatus for multi-microphone based speech enhancement
TL;DR: In this paper, a system for processing an M-channel input signal is described that includes outputting a signal produced by a selected one among a plurality of spatial separation filters, and configurations that may be implemented on a multi-microphone handheld device.
Patent
Systems, methods, devices, apparatus, and computer program products for audio equalization
Hyun Jin Park,Erik Visser,Jong Won Shin,Kwokleung Chan,Samir Kumar Gupta,Andre Gustavo P. Schevciw,Ren Li,Jeremy Toman +7 more
TL;DR: In this paper, the authors described methods and apparatus for generating an anti-noise signal and equalizing a reproduced audio signal (e.g., a far-end telephone signal) using information from an acoustic error signal.
Patent
Systems, methods, apparatus, and computer-readable media for automatic control of active noise cancellation
TL;DR: In this article, active noise cancellation is combined with spectrum modification of a reproduced audio signal to enhance intelligibility, and the results show that the modified audio signal is more intelligible than the original signal.