SYSTEM AND METHOD FOR SPELLING RECOGNITION USING SPEECH AND NON-SPEECH INPUT

Patent №

US 7,574,356

Granted

2009-08-11

Filed 2004

Owner

AT&T CORP.

Lab

AI components

5

ml · nlp · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10894201

A system and method for non-speech input or keypad-aided word and spelling recognition is disclosed. The method comprises performing spelling recognition via automatic speech recognition (ASR) on received speech from a user, the ASR being performed using a statistical letter model trained on domain data and producing a letter lattice RLN. If an ASR confidence is below a predetermined level, then the method comprises receiving non-speech input from the user, generating a keypad constraint grammar K and generating a letter string based on a composition of finite state transducers RLN and K. Other variations of the invention include recognizing input by first receiving non-speech input, dynamically generating an unweighted grammar, generating a weighted grammar using domain data, and then performing speech, and thus spelling, recognition on input speech using the weighted grammar.

Machine learningNatural languageSpeechKnowledge representationAI hardwareG06F 3/038G06F 3/0237G10L 15/197G10L 15/22G06F 2203/0381G10L 15/187G10L 2015/086

AI classification

Natural language1.00
Speech1.00
AI hardware0.94
Machine learning0.80
Knowledge representation0.60
Vision0.35
Planning0.00
Evolutionary computation0.00

Ownership

AT&T CORP.

assignment · 163110056

Assignors

SARANGARAJAN PARTHASARATHY

On an employer assignment, the assignors are typically the inventors.

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