Hoffmeister; Bjorn
Patent Applications and Registrations
Patent applications and USPTO patent grants for Hoffmeister; Bjorn.The latest application filed is for "device-directed utterance detection".
Company Profile
9.38.11
- Hoffmeister; Bjorn - Seattle WA
Patent Activity
| Patent | Date |
|---|---|
| Detecting system-directed speech Grant 11,361,763 - Maas , et al. June 14, 2 | 2022-06-14 |
| Language model adaptation Grant 11,302,310 - Gandhe , et al. April 12, 2 | 2022-04-12 |
| Device-directed Utterance Detection App 20210295833 - Rastrow; Ariya ; et al. | 2021-09-23 |
| Keyword Detection Modeling Using Contextual Information App 20210134276 - Prasad; Rohit ; et al. | 2021-05-06 |
| Monophone-based background modeling for wakeword detection Grant 10,964,315 - Wu , et al. March 30, 2 | 2021-03-30 |
| Speech detection and speech recognition Grant 10,923,111 - Fan , et al. February 16, 2 | 2021-02-16 |
| Keyword detection modeling using contextual information Grant 10,832,662 - Prasad , et al. November 10, 2 | 2020-11-10 |
| Deep Multi-channel Acoustic Modeling App 20200349928 - Mandal; Arindam ; et al. | 2020-11-05 |
| Deep multi-channel acoustic modeling Grant 10,726,830 - Mandal , et al. | 2020-07-28 |
| Anchored Speech Detection And Speech Recognition App 20200035231 - Parthasarathi; Sree Hari Krishnan ; et al. | 2020-01-30 |
| Confidence checking for speech processing and query answering Grant 10,388,274 - Hoffmeister A | 2019-08-20 |
| Anchored speech detection and speech recognition Grant 10,373,612 - Parthasarathi , et al. | 2019-08-06 |
| Confidence checking for speech processing and query answering Grant 10,332,508 - Hoffmeister | 2019-06-25 |
| Keyword spotting using multi-task configuration Grant 10,304,440 - Panchapagesan , et al. | 2019-05-28 |
| Error tolerant neural network model compression Grant 10,229,356 - Liu , et al. | 2019-03-12 |
| Lattice decoding and result confirmation using recurrent neural networks Grant 10,210,862 - Ladhak , et al. Feb | 2019-02-19 |
| Lattice encoding using recurrent neural networks Grant 10,176,802 - Ladhak , et al. J | 2019-01-08 |
| Speech model retrieval in distributed speech recognition systems Grant 10,152,973 - Hoffmeister , et al. Dec | 2018-12-11 |
| Automatic speech recognition incorporating word usage information Grant 10,121,467 - Gandhe , et al. November 6, 2 | 2018-11-06 |
| Language model speech endpointing Grant 10,121,471 - Hoffmeister , et al. November 6, 2 | 2018-11-06 |
| Stochastic modeling of user interactions with a detection system Grant 9,899,021 - Vitaladevuni , et al. February 20, 2 | 2018-02-20 |
| Class-based discriminative training of speech models Grant 9,892,726 - Garimella , et al. February 13, 2 | 2018-02-13 |
| Neural network processing of multiple feature streams using max pooling and restricted connectivity Grant 9,886,948 - Garimella , et al. February 6, 2 | 2018-02-06 |
| Keyword Detection Modeling Using Contextual Information App 20180012593 - Prasad; Rohit ; et al. | 2018-01-11 |
| Low latency and memory efficient keyword spotting Grant 9,852,729 - Hoffmeister December 26, 2 | 2017-12-26 |
| Anchored Speech Detection And Speech Recognition App 20170270919 - Parthasarathi; Sree Hari Krishnan ; et al. | 2017-09-21 |
| Security measures for an electronic device Grant 9,706,406 - Adams , et al. July 11, 2 | 2017-07-11 |
| Keyword detection modeling using contextual and environmental information Grant 9,697,828 - Prasad , et al. July 4, 2 | 2017-07-04 |
| Qualifying trigger expressions in speech-based systems Grant 9,672,812 - Watanabe , et al. June 6, 2 | 2017-06-06 |
| Low Latency And Memory Efficient Keywork Spotting App 20170098442 - Hoffmeister; Bjorn | 2017-04-06 |
| Markov-based sequence tagging using neural networks Grant 9,600,764 - Rastrow , et al. March 21, 2 | 2017-03-21 |
| Model shrinking for embedded keyword spotting Grant 9,600,231 - Sun , et al. March 21, 2 | 2017-03-21 |
| Estimating false rejection rate in a detection system Grant 9,589,560 - Vitaladevuni , et al. March 7, 2 | 2017-03-07 |
| Duration ratio modeling for improved speech recognition Grant 9,542,939 - Hoffmeister January 10, 2 | 2017-01-10 |
| Language Model Speech Endpointing App 20160379632 - Hoffmeister; Bjorn ; et al. | 2016-12-29 |
| Speech recognition with combined grammar and statistical language models Grant 9,449,598 - Rastrow , et al. September 20, 2 | 2016-09-20 |
| Low latency and memory efficient keywork spotting Grant 9,390,708 - Hoffmeister July 12, 2 | 2016-07-12 |
| Estimating speaker-specific affine transforms for neural network based speech recognition systems Grant 9,378,735 - Garimella , et al. June 28, 2 | 2016-06-28 |
| Acoustic echo cancellation and automatic speech recognition with random noise Grant 9,286,883 - Ayrapetian , et al. March 15, 2 | 2016-03-15 |
| Speech recognizer with multi-directional decoding Grant 9,286,897 - Bisani , et al. March 15, 2 | 2016-03-15 |
| Speech Model Retrieval In Distributed Speech Recognition Systems App 20160071519 - Hoffmeister; Bjorn ; et al. | 2016-03-10 |
| Speech model retrieval in distributed speech recognition systems Grant 9,190,057 - Hoffmeister , et al. November 17, 2 | 2015-11-17 |
| Keyword spotting with competitor models Grant 9,159,319 - Hoffmeister October 13, 2 | 2015-10-13 |
| Accepting voice commands based on user identity Grant 9,098,467 - Blanksteen , et al. August 4, 2 | 2015-08-04 |
| Local speech recognition of frequent utterances Grant 9,070,367 - Hoffmeister , et al. June 30, 2 | 2015-06-30 |
| Speech Recognizer With Multi-directional Decoding App 20150095026 - Bisani; Michael Maximilian Emanuel ; et al. | 2015-04-02 |
| Using adaptation data with cloud-based speech recognition Grant 8,996,372 - Secker-Walker , et al. March 31, 2 | 2015-03-31 |
| Speech Model Retrieval In Distributed Speech Recognition Systems App 20140163977 - Hoffmeister; Bjorn ; et al. | 2014-06-12 |
uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.
While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.
All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.
| 