In a speaker distance calculation part of a speaker recognition apparatus, a quantization distance is obtained between a voice feature vector of a voice feature vector sequence produced from a voice of a speaker to be recognized and a representative vector of a codebook. The voice feature vector is quantized based on the quantization distance. And a quantization distortion is obtained by using a high order voice feature vector group of the voice feature vector sequence. In a recognition part of ...

A method and system for automatic speech recognition are disclosed. The method comprises receiving speech from a user, the speech including at least one speech error, increasing the probabilities of closely related words to the at least one speech error and processing the received speech using the increased probabilities. A corpora of data having common words that are mis-stated is used to identify and increase the probabilities of related words. The method applies to at least the automatic spee...

A voice based multimodal speaker authentication method and telecommunications application thereof employing a speaker adaptive method for training phenome specific Gaussian mixture models. Applied to telecommunications services, the method may advantageously be implemented in contemporary wireless terminals.

A method of providing voice metrics over an established telephone call between a user and a subscriber can include receiving voice information from the user over the call and determining biometric information from the voice information for the user. The method further can include encoding the biometric metric information and sending the biometric information to the subscriber over the call.

A speech model is produced for use in determining whether a speaker associated with the speech model produced an unidentified speech sample. First a sample of speech of a particular speaker is obtained. Next, the contents of the sample of speech are identified using speech recognition. Finally, a speech model associated with the particular speaker is produced using the sample of speech and the identified contents thereof. The speech model is produced without using an external mechanism to monito...

Techniques for generating, distributing, and using speech recognition models are described. A shared speech processing facility is used to support speech recognition for a wide variety of devices with limited capabilities including business computer systems, personal data assistants, etc., which are coupled to the speech processing facility via a communications channel, e.g., the Internet. Devices with audio capture capability record and transmit to the speech processing facility, via the Intern...

A configurable distributed speech recognition system comprises a configurable distributed speech recognition protocol, and a configurable distributed speech recognition server. Herein, the configurable distributed speech recognition protocol is used to establish data transmitting format, for a client speech mobile device to packet the speech data and configuration data become a message packet. The configurable distributed speech recognition system receives the message packet from the client spee...

Method and apparatus for multi-pass speech recognition. An input device receives spoken input. A processor performs a first pass speech recognition technique on the spoken input and forms first pass results. The first pass results include a number of alternative speech expressions, each having an assigned score related to the certainty that the corresponding expression correctly matches the spoken input. The processor selectively performs a second pass speech recognition technique on the spoken ...

A method of comparing voice signatures is provided comprising selecting an original performance. The original performance is comprised of an original performance voice signature. A user impersonation of at least a portion of the original performance is recorded and a user impersonation voice signature is established. The user impersonation voice signature is electronically compared to the original performance voice signature. A graduated performance value is generated representative of the simil...

The present method incorporates audio and visual cues from human gesticulation for automatic recognition. The methodology articulates a framework for co-analyzing gestures and prosodic elements of a person's speech. The methodology can be applied to a wide range of algorithms involving analysis of gesticulating individuals. The examples of interactive technology applications can range from information kiosks to personal computers. The video analysis of human activity provides a basis for the dev...