Sri International

Minds and Technology, Inc.

Minds and Technologies, Inc.

Dimitry Rtischev

Leonardo Neumeyer

Jared C Bernstein

Vassilios Digalakis

John W Butzberger

Diego Doval

Philip L Hubbard

George T Chen

Kaori Shibatani

Juan Gargiulo

Described herein is a system that enables service provider's to integrate speech functionality into their applications. A service provider maintains a set of application servers. To provide a particular speech service to a client of the application server, the application server causes the client to request the speech service from another set of servers. This set of servers is responsible for providing this speech service as well as others. Such speech services include recording digital speech data at the client, and storing the recordings. Later, the application servers may retrieve the recordings, and even more, retrieve data derived from the recordings, such as data generated through speech recognition processes.

Centralized processing of digital speech data originated at the network clients of a set of servers

A method for language fluency training on a computer system having an audio output device includes invoking a web browser program, receiving a pre-recorded file including a message in a spoken language from a conversation partner, playing the message to a user seeking fluency training in the spoken language from within the web browser program on the audio output device, asynchronously with playing the message, recording a user file including a message in the spoken language from the user in response to the message from within the web browser program, outputting the user file to the conversation partner and to a language instructor, receiving an instruction file including an instruction message in the spoken language from the language instructor in response to the user message and playing the instruction message to the user from within the web browser program on the audio output device.

Method and apparatus for language training

A method and apparatus for automatic recognition of speech adapts to a particular speaker by using adaptation data to develop a transformation through which speaker independent models are transformed into speaker adapted models. The speaker adapted models are then used for speaker recognition and achieve better recognition accuracy than non-adapted models. In a further embodiment, the transformation-based adaptation technique is combined with a known Bayesian adaptation technique.

Method and apparatus for speech recognition adapted to an individual

Spoken-language instruction method and apparatus employ context-based speech recognition for instruction and evaluation, particularly language instruction and language fluency evaluation. A system can administer a lesson, and particularly a language lesson, and evaluate performance in a natural interactive manner while tolerating strong foreign accents, and produce as an output a reading quality score. A finite state grammar set corresponding to the range of word sequence patterns in the lesson is employed as a constraint on a hidden Markov model (HMM) search apparatus in an HMM speech recognizer which includes a set of hidden Markov models of target-language narrations produced by native speakers of the target language. The invention is preferably based on use of a linguistic context-sensitive speech recognizer. The invention includes a system with an interactive decision mechanism which employs at least three levels of error tolerance to simulate a natural level of patience in human-based interactive instruction. A system for a reading phase is implemented through a finite state machine having at least four states which recognizes reading error at any position in a script and which employs a first set of actions. A related system for an interactive question phase is implemented through a finite state machine, but which recognizes reading errors as well as incorrect answers while invoking a second set of actions. A linguistically-sensitive utterance endpoint detector is provided for judging termination of a spoken utterance to simulate human turn-taking in conversational speech.

Method and apparatus for voice-interactive language instruction

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Menlo Park, CA, United States of America

Dimitry Rtischev