Abstract:
A method and system for removing acoustic noise removal (Fig. 5) from human speech is described. Acoustic noise is removed regardless of noise type, amplitude, or orientation. The system includes a processor (30) coupled among microphones (1, 2) and a voice activation detection ("V AD") element (104). The processor executes denoising algorithms that generate transfer functions. The processor (30) receives acoustic data from the microphones (1, 2) and data from the VAD (104) indicates voicing activity and when the VAD indicates no voicing activity. The transfer functions are used to generate a denoised data stream.
Abstract:
A microphone array is described for use in ultra-high acoustical noise environments. The microphone array includes two directional close-talk microphones. The two microphones are separated by a short distance so that one microphone picks up more speech than the other. The microphone array can be used along with an adaptive noise removal program to remove a significant portion of noise from a speech signal of interest
Abstract:
A method and system are provided for acoustic noise removal from human speech, wherein noise is removed without respect to noise type, amplitude, or orientation. The system includes microphones and a voice activity detection (VAD) data stream coupled among a processor. The microphones receive acoustic signals and the VAD produces a signal including a binary one when speech (voiced and unvoiced) is occurring and a binary zero in the absence of speech. The processor includes denoising algorithms that generate transfer functions. The transfer functions include a transfer function generated in response to a determination that voicing information is absent from the received acoustic signal during a specified time period. The transfer functions also include transfer functions generated in response to a determination that voicing information is present in the acoustic signal during a specified time period. At least one denoised acoustic data stream is generated using the transfer functions.
Abstract:
Systems and methods are described for clamping a headset in a calibration system using a clamp system that includes a clamp, platform, and one or more spindles (e.g., cushion spindles) to minimize or eliminate issues associated with positioning of headsets. The clamp system comprises a mount having a receptacle. When a device is introduced to the mount the receptacle receives at least a portion of a device. The clamp system includes a clamp attached to the mount and having a first arm rotateably coupled to a second arm that controls the first arm between an open position and a closed position. A platform and at least one spindle are connected to the first arm. When the device is present in the receptacle and the first arm is in the closed position the spindle contacts the device and seats or secures the device in the receptacle.
Abstract:
PROBLEM TO BE SOLVED: To provide a method and system for removing acoustic noise from human speech, in which noise is removed irrespective of the type, magnitude or orientation of noise to restore a signal after the removal.SOLUTION: A system includes a microphone and a sensor connected to a processor. The microphone receives acoustic signals and a VAD supplies a signal of a binary 1 when speech (both voiced and unvoiced) is occurring and of a binary 0 in the absence of speech. The processor includes a denoising algorithm, and it generates transfer functions. The transfer functions include a transfer function generated in response to a determination that voicing information is not present in the acoustic signal received during a specified time period. Also, the transfer functions include a transfer function generated in response to a determination that voicing information is present in the acoustic signal during a specified time period. At least one denoised acoustic data stream is generated using the transfer functions.
Abstract:
PROBLEM TO BE SOLVED: To provide a method and a system for removing acoustic noise from human speech, wherein noise is removed to restore a signal therefrom regardless of noise type, amplitude, or orientation.SOLUTION: The system includes a microphone and a sensor coupled with a processor. The microphone receives an acoustic signal, and VAD (voice activity detection) provides a binary one when speech (voiced and unvoiced) is occurring, and a binary zero in the absence of speech. The processor includes denoising algorithms that generate transfer functions. The transfer functions include a transfer function generated in response to a determination that voicing information is absent in the received acoustic signal during a specified time period. The transfer functions are used to generate at least one denoised acoustic data stream.
Abstract:
A voice activity detector (VAD) combines the use of an acoustic VAD and a vibration sensor VAD as appropriate to the conditions a host device is operated. The VAD includes a first detector receiving a first signal and a second detector receiving a second signal. The VAD includes a first VAD component coupled to the first and second detectors. The first VAD component determines that the first signal corresponds to voiced speech when energy resulting from at least one operation on the first signal exceeds a first threshold. The VAD includes a second VAD component coupled to the second detector. The second VAD component determines that the second signal corresponds to voiced speech when a ratio of a second parameter corresponding to the second signal and a first parameter corresponding to the first signal exceeds a second threshold.
Abstract:
Voice Activity Detection (VAD) devices, systems and methods are described for use with signal processing systems to denoise acoustic signals. Components of a signal processing system and/or VAD system receive acoustic signals and voice activity signals. Control signals are automatically generated from data of the voice activity signals. Components of the signal processing system and/or VAD system use the control signals to automatically select a denoising method appropriate to data of frequency subbands of the acoustic signals. The selected denoising method is applied to the acoustic signals to generate denoised acoustic signals.
Abstract:
Voice Activity Detection (VAD) devices, systems and methods are described for use with signal processing systems to denoise acoustic signals. Components of a signal processing system and/or VAD system receive acoustic signals and voice activity signals. Control signals are automatically generated from data of the voice activity signals. Components of the signal processing system and/or VAD system use the control signals to automatically select a denoising method appropriate to data of frequency subbands of the acoustic signals. The selected denoising method is applied to the acoustic signals to generate denoised acoustic signals.