Topic
Microphone array
About: Microphone array is a research topic. Over the lifetime, 5936 publications have been published within this topic receiving 70026 citations.
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TL;DR: In this paper, a teleconferencing system with a video camera for generating a video signal representative of a video image of a first station B and a microphone array (150, 160) for receiving a sound from one or more fixed non-overlapping volume zones (151-159) into which the first station is divided.
Abstract: A teleconferencing system (100) is disclosed having a video camera for generating a video signal representative of a video image of a first station B. A microphone array (150, 160) is also provided in the first station for receiving a sound from one or more fixed non-overlapping volume zones (151-159) into which the first station is divided. The microphone array is also provided for generating a monochannel audio signal (170) representative of the received sound and a direction signal indicating, based on the sound received from each zone, from which of the volume zones the sound originated. The teleconferencing system also includes a display device (120A) at a second station A for displaying a video image of the first station. A loudspeaker control device (140) is also provided at the second station for selecting a virtual location (121) on the displayed video image depending on the direction signal, and for generating stereo sound from the monochannel audio signal which stereo sound emanates from the virtual location on the displayed video image.
351 citations
TL;DR: It is found that training on different noise environments and different microphones barely affects the ASR performance, especially when several environments are present in the training data: only the number of microphones has a significant impact.
345 citations
Patent•
19 Oct 2000TL;DR: In this article, a natural language interface control system for operating a plurality of devices (114) consisting of a first microphone array (108), a feature extraction module (202) coupled to the first microphone arrays, and a speech recognition module (204) coupled with the feature extraction modules, wherein the speech recognition model utilizes hidden Markov models.
Abstract: A natural language interface control system (206) for operating a plurality of devices (114) consists of a first microphone array (108), a feature extraction module (202) coupled to the first microphone array, and a speech recognition module (204) coupled to the feature extraction module, wherein the speech recognition module utilizes hidden Markov models. The system also comprises a natural language interface module (222) coupled to the speech recognition module (204) and a device interface (210) coupled to the natural language interface module (222), wherein the natural language interface module is for operating a plurality of devices coupled to the device interface based upon non-prompted, open-ended natural language requests from a user.
342 citations
TL;DR: In this article, a conical array is used to detect instability waves in a subsonic round jet using a phased microphone array, which is analogous to the beam-forming technique used with a far-field microphone array to localize noise sources.
Abstract: We propose a diagnostic technique to detect instability waves in a subsonic round jet using a phased microphone array. The detection algorithm is analogous to the beam-forming technique, which is typically used with a far-field microphone array to localize noise sources. By replacing the reference solutions used in the conventional beam-forming with eigenfunctions from linear stability analysis, the amplitudes of instability waves in the axisymmetric and first two azimuthal modes are inferred. Experimental measurements with particle image velocimetry and a database from direct numerical simulation are incorporated to design a conical array that is placed just outside the mixing layer near the nozzle exit. The proposed diagnostic technique is tested in experiments by checking for consistency of the radial decay, streamwise evolution and phase correlation of hydrodynamic pressure. The results demonstrate that in a statistical sense, the pressure field is consistent with instability waves evolving in the turbulent mean flow from the nozzle exit to the end of the potential core, particularly near the most amplified frequency of each azimuthal mode. We apply this technique to study the effects of jet Mach number and temperature ratio on the azimuthal mode balance and evolution of instability waves. We also compare the results from the beam-forming algorithm with the proper orthogonal decomposition and discuss some implications for jet noise.
335 citations
01 Mar 2000
TL;DR: This chapter discusses multi-Channel Sound, Acoustic Echo Cancellation, and Multi-Channel Time-Domain Adaptive Filtering, and an Introduction to Blind Source Separation of Speech Signals.
Abstract: List of Figures. List of Tables. Preface. Contributing Authors. 1. An Introduction to Acoustic Echo and Noise Control S.L. Gay, J. Benesty. Part I: Mono-Channel Acoustic Echo Cancellation. 2. The Fast Affine Projection Algorithm S.L. Gay. 3. Subband Acoustic Echo Cancellation Using the FAP-RLS Algorithm: Fixed-Point Implementation Issues M. Ghanassi, B. Champagne. 4. Real-Time Implementation of the Exact Block NLMS Algorithm for Acoustic Echo Control in Hands-Free Telephone Systems B.H. Nitsch. 5. Double-Talk Detection Schemes for Acoustic Echo Cancellation T. Gansler, J. Benesty, S.L. Gay. Part II: Multi-Channel Acoustic Echo Cancellation. 6. Multi-Channel Sound, Acoustic Echo Cancellation, and Multi-Channel Time-Domain Adaptive Filtering J. Benesty, T. Gansler, P. Eneroth. 7. Multi-Channel Frequency-Domain Adaptive Filtering J. Benesty, D.R. Morgan. 8. A Real-time Stereophonic Acoustic Subband Echo Canceler P. Eneroth, S.L. Gay, T. Gansler, J. Benesty. Part III: Noise Reduction Techniques with a Single Microphone. 9. Subband Noise Reduction Methods for Speech Enhancement E.J. Diethorn. Part IV: Microphone Arrays. 10. Superdirectional Microphone Arrays G.W. Elko. 11. Microphone Arrays for Video Camera Steering Yiteng Huang, J. Benesty, G.W. Elko. 12. Nonlinear, Model-Based Microphone Array Speech Enhancement M.S. Brandstein, S.M. Griebel. Part V: Virtual Sound. 13. 3D Audio and Virtual Acoustical Environment Synthesis Jiashu Chen.14. Virtual Sound Using Loudspeakers: Robust Acoustic Crosstalk Cancellation D.B. Ward, G.W. Elko. Part VI: Blind Source Separation. 15. An Introduction to Blind Source Separation of Speech Signals J. Benesty. Index.
315 citations