Abstract:
An implantable system (11) for control of and communication with an implant (17) in a body, comprising a command input device (12) and a processing device (13) coupled thereto, the processing device (13) being adapted to generate input to a command generator (16) which is comprised in the system (11) coupled to the processing device (13) and which is adapted to generate and communicate commands to the medical implant (17) in response to input received from the processing device (13), the system (11) further comprising a memory unit (15) connected to at least one of said devices in the system (11) for storing a memory bank of commands. The command input device (12) is adapted to receive commands from a user as voice commands, and the processing device (13) comprises a filter adapted to filter voice commands against high frequency losses and frequency distortion caused by the mammal body (10).
Abstract:
A method of identifying incidents using mobile devices can include receiving a communicat ion from each of a plurality of mobile devices. Each communication can specify information about a detected sound. Spatial and temporal information can be identified from each communication as well as an indication of a sound signature matching the detected sound. The communications can be compared with a policy specifying spatial and temporal requirements relating to the sound signature indicated by the communications. A 10 notification can be selectively sent according to the comparison.
Abstract:
A noise suppression circuit for use in an audio signal processing circuit is provided. The noise suppression circuit includes a plurality of different types of noise activity detectors, which are each adapted for detecting the presence of a different type of noise in a received signal. The noise suppression circuit further includes a 10 plurality of different types of noise reduction circuits, which are each adapted for removing a different type of detected noise, where each noise reduction circuit respectively corresponds to one of the plurality of noise activity detectors. The respective noise reduction circuit is then selectively activated to condition the received signal to reduce the amount of the detected types of noise, when each one of 15 the plurality of noise activity detectors detects the presence of a corresponding type of noise in the received signal.
Abstract:
Systems and methods for intelligent control of microphones in speech processing applications, which allows the capturing, recording and preprocessing of speech data in the captured audio in a way that optimizes speech recognition accuracy.
Abstract:
A system (100) and method (200) for generating a perturbed phonetic string for use in speech recognition. The method can include generating (202) a feature vector set from a spoken utterance, applying (204) a perturbation to the feature vector set for producing a perturbed feature vector set, and phonetically decoding (206) the perturbed feature vector set for producing a perturbed phonetic string. The perturbation mimics environmental variability and speaker variability for reducing the number of spoken utterances in speech recognition applications.
Abstract:
Provided are an apparatus for extracting a speech feature vector in a distributed speech recognition terminal and a method thereof. The apparatus includes a speech coding module for transmitting coded speech signals into outside through a speech traffic channel in a speech coding mode; a speech feature vector extracting module for transmitting extracted speech feature vectors into outside in a speech recognition mode; and a speech coding/recognition pre-processing block for attenuating a noise in speech signals received from the outside, wherein speech signals inputted into the speech coding module and the speech feature vector extracting module are pre-processed in the speech coding/recognition preprocessing block.
Abstract:
A voice recognition apparatus and method are provided. The voice recognition apparatus includes: a signal processing unit for calculating a log spectrum of a vocal band signal and a log spectrum of a voice signal containing noise, the vocal band signal and the voice signal being received from an external channel; a weight calculating unit for calculating a normalization value by assigning a weight using the log spectrum of the vocal band signal and the spectrum of the voice signal, and compensating for the log spectrum of the vocal band signal to the normalization value; a feature extracting unit for extracting a feature vector from the compensated log spectrum of the vocal band signal; and a recognizing unit for leaning a recognition model using the feature vector and performing a voice recognition.
Abstract:
Presented herein are systems and methods for generating an adaptive noise codebook for use with electronic speech systems. The noise codebook includes a plurality of entries which may be updated based on environmental noise sounds. The speech system includes a speech codebook and the adaptive noise codebook. The system identifies speech sounds in an audio signal using the speech and noise codebooks.
Abstract:
A method of processing speech in a noisy environment includes determining, upon a wake-up command, when the environment is too noisy to yield reliable recognition of a user's spoken words, and alerting the user that the environment is too noisy. Determining when the environment is too noisy includes calculating a ratio of signal to noise. The signal corresponds to of an amount of energy in the spoken utterance, and the noise corresponds to an amount of energy in the background noise. The method further includes comparing the signal to noise to a threshold.