Electrical audio signal processing systems and devices – Noise or distortion suppression – Spectral adjustment
Reexamination Certificate
1996-06-19
2001-04-24
Harvey, Minsun Oh (Department: 2644)
Electrical audio signal processing systems and devices
Noise or distortion suppression
Spectral adjustment
C381S092000, C381S094100
Reexamination Certificate
active
06222927
ABSTRACT:
BACKGROUND OF THE INVENTION
The present invention is directed to the processing of acoustic signals, and more particularly, but not exclusively, relates to the separation of acoustic signals emanating from different sources by detecting a mixture of the acoustic signals at multiple locations.
The difficulty of extracting a desired signal in the presence of interfering signals is a long-standing problem confronted by acoustic engineers. This problem impacts the design and construction of many kinds of devices such as systems for voice recognition and intelligence gathering. Especially troublesome is the separation of desired sound from unwanted sound with hearing aid devices. Generally, hearing aid devices do not permit selective amplification of a desired sound when contaminated by noise from a nearby source—particularly when the noise is more intense. This problem is even more severe when the desired sound is a speech signal and the nearby noise is also the result of speech (e.g. babble). As used herein, “noise” refers not only to random or non deterministic signals, but also to undesired signals and signals interfering with the perception of a desired signal.
One attempted solution to this problem has been the application of a single, highly directional microphone to enhance directionality of the hearing aid receiver. This approach has only a very limited capability. As a result, spectral subtraction, comb filtering, and speech-production modeling have been explored to enhance single microphone performance. Nonetheless, these approaches still generally fail to improve intelligibility of a desired speech signal, particularly when the signal and noise source are in close proximity.
Another approach has been to arrange a number of microphones in a selected spatial relationship to form a type of directional detection beam. Unfortunately, when limited to a size practical for hearing aids, beam forming arrays also have limited capacity to separate signals which are close together—especially if the noise is more intense than a desired speech signal. In addition, in the case of one noise source in a less reverberant environment, the noise cancellation provided by the beam-former varies with the location of the noise source in relation to the microphone array. R. W. Stadler and W. M. Rabinowitz,
On the Potential of Fixed Arrays for Hearing Aids
, 94 Journal Acoustical Society of America 1332 (September 1993), and W. Soede et al.,
Development of a Directional Hearing Instrument Based on Array Technology
, 94 Journal of Acoustical Society of America 785 (August 1993) are cited as additional background concerning the beam forming approach.
Still another approach has been the application of two microphones displaced from each other to provide two signals to emulate certain aspects of the binaural hearing system common to humans and many types of animals. Although certain aspects of biologic binaural hearing are still not fully understood, it is believed that the ability to localize sound sources is based on evaluation of binaural time delays and sound levels across different frequency bands associated with each of the two sound signals. The localization of sound sources with systems based on these interaural time and intensity differences is discussed in W. Lindemann,
Extension of a Binaural Cross
-
Correlation Model by Contralateral Inhibition—I. Simulation of Lateralization for Stationary Signals
, 80 Journal of the Acoustical Society of America 1608 (December 1986). Nonetheless, the separation of a desired signal from noise or interfering sound still presents a significant problem once the sound sources are localized.
For example, the system set forth in Markus Bodden,
Modeling Human Sound
-
Source Localization and the Cocktail
-
Party
-
Effect
, 1 Acta Acustica 43 (February/April 1993) employs a Wiener filter including a windowing process in an attempt to derive a desired signal from binaural input signals once the location of the desired signal has been established. Unfortunately, this approach results in significant deterioration of desired speech fidelity. Also, the system has only been demonstrated to suppress noise of equal intensity to the desired signal at an azimuthal separation of at least 30 degrees. A more intense noise emanating from a source spaced closer than 30 degrees from the desired source still appears to present a problem. Moreover, the proposed algorithm of the Bodden system is computationally intense—posing a serious question of whether it can be practically embodied in a hearing aid device.
Another example of a two microphone system is found in D. Banks,
Localisation and Separation of Simultaneous Voices with Two Microphones
, IEE Proceedings-I, 140 (1993). This system employs a windowing technique to estimate the location of a sound source when there are non overlapping gaps in its spectrum compared to the spectrum of interfering noise. This system cannot perform localization when wide-band signals lacking such gaps are involved. In addition, the Banks article fails to provide details of the algorithm for reconstructing the desired signal. U.S. Pat. No. 5,479,522 to Lindemann et al.; U.S. Pat. No. 5,325,436 to Soli et al.; U.S. Pat. No. 5,289,544 to Franklin; and U.S. Pat. No. 4,773,095 to Zwicker et al. are cited as sources of additional background concerning dual microphone hearing aid systems.
These binaural systems still fail to provide for the extraction of an intelligible speech signal subject to acoustic interference emanating from a nearby noise source. Thus, a need remains for a way to extract a desired acoustic signal from a noisy environment which minimizes degradation of the desired signal fidelity and which may be practically embodied into a device such as a hearing aid.
SUMMARY OF THE INVENTION
One feature of the present invention is utilizing two sensors to provide corresponding binaural signals from which the relative separation of a first acoustic source from a second acoustic source may be established as a function of time, and the spectral content of a desired acoustic signal from the first source may be representatively extracted. One aspect of this feature is that the desired acoustic signal may be successfully extracted even if a nearby noise source is of greater relative intensity.
Another feature of the present invention is detecting an acoustic excitation at a first location to provide a corresponding first signal and at a second location to provide a corresponding second signal. This excitation includes a desired acoustic signal from a first source and an interfering acoustic signal from a second source spaced apart from the first source. The second source is localized relative to the first source as a function of the first and second signals. A characteristic signal is generated which is representative of the desired acoustic signal during the localization.
Still another feature is delaying the first and second signals by a number of time intervals to correspondingly establish a number of delayed first signals and a number of delayed second signals. A time increment corresponding to the separation of the first and second sources is determined by comparing the delayed first signals to the delayed second signals. An output signal representative of the desired signal is generated as a function of the time increment. Furthermore, a signal pair indicative of the location of the second source may be selected that has a first member selected from the delayed first signals and a second member from the delayed second signals. The output signal may be generated as a function of this signal pair.
In yet another feature, a processing system utilizes a first and second sensor at different locations to provide a binaural representation of an acoustic signal which includes a desired signal emanating from a selected source and an interfering signal emanating from a interfering source. A processor generates a discrete first spectral signal and a discrete second spectral signal from the sensor signals. The processor delays the first and second s
Feng Albert S.
Lansing Charissa R.
Liu Chen
O'Brien William
Wheeler Bruce C.
Harvey Minsun Oh
The University of Illinois
Woodard Emhardt Naughton Moriarty & McNett
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