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.
AI classification
Ownership
AT&T CORP.
assignment · 163110056
Assignors
SARANGARAJAN PARTHASARATHY
On an employer assignment, the assignors are typically the inventors.