ASHWIN LAXMINARAYANA RAO
Marriage and Family Therapists at Montlake Blvd, Seattle, WA

8355915, Jan 15, 2013

Nov 30, 2007

11/948757

Ashwin P. Rao - Seattle WA, US

G10L 15/06, G10L 15/14, G10L 15/28, G10L 21/00, G10L 21/06, G10L 11/00

704244, 704243, 704255, 704256, 704270, 7042701, 704275

The disclosure describes an overall system/method for text-input using a multimodal interface with speech recognition. Specifically, pluralities of modes interact with the main speech mode to provide the speech-recognition system with partial knowledge of the text corresponding to the spoken utterance forming the input to the speech recognition system. The knowledge from other modes is used to dynamically change the ASR system's active vocabulary thereby significantly increasing recognition accuracy and significantly reducing processing requirements. Additionally, the speech recognition system is configured using three different system configurations (always listening, partially listening, and push-to-speak) and for each one of those three different user-interfaces are proposed (speak-and-type, type-and-speak, and speak-while-typing). Finally, the overall user-interface of the proposed system is designed such that it enhances existing standard text-input methods; thereby minimizing the behavior change for mobile users.

8645131, Feb 4, 2014

Oct 16, 2009

12/581109

Ashwin P. Rao - Seattle WA, US
Gregory M. Aronov - Seattle WA, US
Marat V. Garafutdinov - Seattle WA, US

G10L 15/02

704233

The disclosure describes a speech detection system for detecting one or more desired speech segments in an audio stream. The speech detection system includes an audio stream input and a speech detection technique. The speech detection technique may be performed in various ways, such as using pattern matching and/or signal processing. The pattern matching implementation may extract features representing types of sounds as in phrases, words, syllables, phonemes and so on. The signal processing implementation may extract spectrally-localized frequency-based features, amplitude-based features, and combinations of the frequency-based and amplitude-based features. Metrics may be obtained and used to determine a desired word in the audio stream. In addition, a keypad stream having keypad entries may be used in determining the desired word.

8571862, Oct 29, 2013

Oct 13, 2009

12/578355

Ashwin P. Rao - Seattle WA, US
Gregory M. Aronov - Seattle WA, US
Marat V. Garafutdinov - Seattle WA, US

G10L 15/26

704235

The disclosure describes an overall system/method for text-input using a multimodal interface with a combination of speech recognition and text prediction. Specifically, an “always listening” mode for entering words is combined with a push-to-speak mode for entering symbols and phrases. In addition, these two modes are further combined with keypad based text prediction. Finally, the overall user-interface of the proposed system is designed such that it enhances existing standard text-input methods; thereby minimizing the behavior change for mobile users.

7904298, Mar 8, 2011

Nov 16, 2007

11/941910

Ashwin P. Rao - Seattle WA, US

G10L 15/00, G10L 21/00

704270, 704243, 704244

This disclosure describes a practical system/method for predicting spoken text (a spoken word or a spoken sentence/phrase) given that text's partial spelling (example, initial characters forming the spelling of a word/sentence). The partial spelling may be given using “Speech” or may be inputted using the keyboard/keypad or may be obtained using other input methods. The disclosed system is an alternative method for inputting text into devices; the method is faster (especially for long words or phrases) compared to existing predictive-text-input and/or word-completion methods.