Abstract: Embodiments of the present invention improve speech recognition using historical information. In one embodiment, the present invention includes a method of performing speech recognition comprising receiving an identifier specifying a user of a kiosk, retrieving history information about the user using the identifier, receiving speech input, recognizing said speech input in the context of a first recognition set, resulting in first recognition results, and modifying the first recognition results using the history information.

Abstract: Embodiments of the present invention improve methods of performing speech recognition using sensory inputs of human position. In one embodiment, the present invention includes a speech recognition method comprising sensing a change in position of at least one part of a human body, selecting a recognition set based on the change of position, receiving a speech input signal, and recognizing the speech input signal in the context of the first recognition set.

Abstract: The present invention includes a speech recognition system comprising a light element, a power control switch, the power control switch varying the power delivered to the light element, a controller, a microphone, a speech recognizer coupled to the microphone for recognizing speech input signals and transmitting recognition results to the controller, and a speech synthesizer coupled to the controller for generating synthesized speech, wherein the controller varies the power to the light element in accordance with the recognition results received from the speech recognizer. Embodiments of the invention may alternatively include a low power wake up circuit. In another embodiment, the present invention is a method of controlling a device by voice commands.

Abstract: The present invention includes a client-server security system. The client-server security system includes a client system receiving first biometric data and having a first level security authorization procedure. In one embodiment, the first biometric data is speech data and the first level security authorization procedure includes a first speaker recognition algorithm. A server system is provided for receiving second biometric data. The server system includes a second level security authorization procedure. In one embodiment, the second biometric data is speech data and the second level security authorization procedure includes a second speaker recognition algorithm. In one embodiment, the first level security authorization procedure and the second level security authorization procedure comprise distinct biometric algorithms.

Abstract: In one embodiment the present invention includes a method of wireless communication. The method comprises receiving a sonic signal and determining a sequence of sonic tones from a received sonic signal. The receiving includes receiving the sonic signal at an electronic device using a microphone. The sonic signal includes a sequence of sonic tones. The receiving results in the received sonic signal. The sequence of sonic tones contains predefined timing. The timing includes the duration of each sonic tone and a set of intervals between successive sonic tones.

Abstract: Embodiments of the present invention improve content selection systems and methods using speech recognition. In one embodiment, the present invention includes a speech recognition method comprising receiving location parameters from a global positioning system, retrieving location data using the location parameters, and configuring one or more recognition sets of a speech recognizer using the location data.

Abstract: Embodiments of the present invention improve content selection systems and methods using speech recognition. In one embodiment, the present invention includes a speech recognition method comprising storing content on an electronic device, wherein the content is associated with a plurality of content attribute values, adding the content attribute values to a first recognition set of a speech recognizer, receiving a speech input signal in said speech recognizer, generating a plurality of likelihood values in response to the speech input signal, wherein each likelihood value is associated with one content attribute value in the recognition set; and accessing the stored content based on the likelihood values.

Abstract: The present invention includes a client-server security system. The client-server security system includes a client system receiving first biometric data and having a first level security authorization procedure. In one embodiment, the first biometric data is speech data and the first level security authorization procedure includes a first speaker recognition algorithm. A server system is provided for receiving second biometric data. The server system includes a second level security authorization procedure. In one embodiment, the second biometric data is speech data and the second level security authorization procedure includes a second speaker recognition algorithm. In one embodiment, the first level security authorization procedure and the second level security authorization procedure comprise distinct biometric algorithms.

Abstract: Embodiments of the present invention include a method of performing speech recognition across a network. In one embodiment, the method includes providing, from a server to a first computer, sets of data to recognize spoken utterances from corresponding limited sets of candidate utterances, and supplying different sets of said data from the server to the first computer to recognize different spoken utterances from corresponding limited sets of candidate utterances at different times in response to different user interactions.

Abstract: Embodiments of the present invention include a computer-implemented pronunciation training method comprising receiving a spoken utterance from a user, the spoken utterance including a plurality of sub-units of sound, analyzing the speech quality of the plurality of sub-units of sound of the spoken utterance and generating an audio signal of the spoken utterance from the user while simultaneously displaying the speech quality of each sub-unit of the spoken utterance as each sub-unit of the spoken utterance is generated.

Abstract: The present invention includes a novel audio recognition peripheral system and method. The audio recognition peripheral system comprises an audio recognition peripheral a programmable processor such as a microprocessor or microcontroller. In one embodiment, the audio recognition peripheral includes a feature extractor and vector processor. The feature extractor receives an audio signal and extracts recognition features. The extracted audio recognition features are transmitted to the programmable processor and processed in accordance with an audio recognition algorithm. During execution of the audio recognition algorithm, the programmable processor signals the audio recognition peripheral to perform vector operations. Thus, computationally intensive recognition operations are advantageously offloaded to the peripheral.

Abstract: Embodiments of the present invention include a method of performing speech recognition across a network. In one embodiment, the method includes providing, from a server to a first computer, sets of data to recognize spoken utterances from corresponding limited sets of candidate utterances, and supplying different sets of said data from the server to the first computer to recognize different spoken utterances from corresponding limited sets of candidate utterances at different times in response to different user interactions.

Abstract: Embodiments of the present invention include a speech recognition method. In one embodiment, the method includes receiving from an external system first recognition information to recognize a first plurality of words in a first system, programming the first system with the first recognition information to recognize the first plurality of words, generating first recognition results in response to receiving at least one of the first plurality of words in the first system, receiving from the external system second recognition information to recognize a second plurality of words, wherein the second recognition information is selected based on the first recognition results, and programming the first system with the second recognition information to recognize a second plurality of words.