| Patent application number | Description | Published |
|---|
| 20080215326 | SPEAKER ADAPTATION OF VOCABULARY FOR SPEECH RECOGNITION - A phonetic vocabulary for a speech recognition system is adapted to a particular speaker's pronunciation. A speaker can be attributed specific pronunciation styles, which can be identified from specific pronunciation examples. Consequently, a phonetic vocabulary can be reduced in size, which can improve recognition accuracy and recognition speed. | 09-04-2008 |
| 20090070100 | METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCTS FOR SPOKEN LANGUAGE GRAMMAR EVALUATION - A method, system, and computer program product for spoken language grammar evaluation are provided. The method includes playing a recorded question to a candidate, recording a spoken answer from the candidate, and converting the spoken answer into text. The method further includes comparing the text to a grammar database, calculating a spoken language grammar evaluation score based on the comparison, and outputting the spoken language grammar evaluation score. | 03-12-2009 |
| 20090070111 | METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCTS FOR SPOKEN LANGUAGE GRAMMAR EVALUATION - A method, system, and computer program product for spoken language grammar evaluation are provided. The method includes playing a recorded question to a candidate, recording a spoken answer from the candidate, and converting the spoken answer into text. The method further includes comparing the text to a grammar database, calculating a spoken language grammar evaluation score based on the comparison, and outputting the spoken language grammar evaluation score. | 03-12-2009 |
| 20090171661 | METHOD FOR ASSESSING PRONUNCIATION ABILITIES - Techniques for assessing pronunciation abilities of a user are provided. The techniques include recording a sentence spoken by a user, performing a classification of the spoken sentence, wherein the classification is performed with respect to at least one N-ordered class, and wherein the spoken sentence is represented by a set of at least one acoustic feature extracted from the spoken sentence, and determining a score based on the classification, wherein the score is used to determine an optimal set of at least one question to assess pronunciation ability of the user without human intervention. | 07-02-2009 |
| 20100185435 | EVALUATING SPOKEN SKILLS - Techniques for evaluating one or more spoken language skills of a speaker are provided. The techniques include identifying one or more temporal locations of interest in a speech passage spoken by a speaker, computing one or more acoustic parameters, wherein the one or more acoustic parameters capture one or more properties of one or more acoustic-phonetic features of the one or more locations of interest, and combining the one or more acoustic parameters with an output of an automatic speech recognizer to modify an output of a spoken language skill evaluation. | 07-22-2010 |
| 20100185648 | ENABLING ACCESS TO INFORMATION ON A WEB PAGE - Techniques for enabling voice access to information residing on the World Wide Web are provided. The techniques include receiving a query from a user, wherein the query comprises a voice-based request to access information residing on the World Wide Web, identifying one or more websites corresponding to the query, fetching the information from a website, wherein fetching the information comprises executing a hypertext transfer protocol (HTTP) request, organizing the information into a voice-based response and delivering the response to the user. | 07-22-2010 |
| 20110040554 | Automatic Evaluation of Spoken Fluency - A procedure to automatically evaluate the spoken fluency of a speaker by prompting the speaker to talk on a given topic, recording the speaker's speech to get a recorded sample of speech, and then analyzing the patterns of disfluencies in the speech to compute a numerical score to quantify the spoken fluency skills of the speakers. The numerical fluency score accounts for various prosodic and lexical features, including formant-based filled-pause detection, closely-occurring exact and inexact repeat N-grams, normalized average distance between consecutive occurrences of N-grams. The lexical features and prosodic features are combined to classify the speaker with a C-class classification and develop a rating for the speaker. | 02-17-2011 |
| 20110166850 | CROSS-GUIDED DATA CLUSTERING BASED ON ALIGNMENT BETWEEN DATA DOMAINS - A system and associated method for cross-guided data clustering by aligning target clusters in a target domain to source clusters in a source domain. The cross-guided clustering process takes the target domain and the source domain as inputs. A common word attribute shared by both the target domain and the source domain is a pivot vocabulary, and all other words in both domains are a non-pivot vocabulary. The non-pivot vocabulary is projected onto the pivot vocabulary to improve measurement of similarity between data items. Source centroids representing clusters in the source domain are created and projected to the pivot vocabulary. Target centroids representing clusters in the target domain are initially created by conventional clustering method and then repetitively aligned to converge with the source centroids by use of a cross-domain similarity graph that measures a respective similarity of each target centroid to each source centroid. | 07-07-2011 |
| 20110167064 | CROSS-DOMAIN CLUSTERABILITY EVALUATION FOR CROSS-GUIDED DATA CLUSTERING BASED ON ALIGNMENT BETWEEN DATA DOMAINS - A system and associated method for evaluating cross-domain clusterability upon a target domain and a source domain. The cross-domain clusterability is calculated as a linear combination of a target clusterability and a source-target pair matchability, by use of a trade-off parameter that determines relative contribution of the target clusterability and the source-target pair matchability. The target clusterability quantifies how clusterable the target domain is. The source-target pair matchability is calculated as an average of a target-side matchability and a source-side matchability, which quantifies how well target centroids of the target domain are aligned with the source centroids and how well source centroids of the source domain are aligned with the target centroids, respectively. | 07-07-2011 |
