Recurrent neural networks for edge intelligence: a survey
VS Lalapura, J Amudha, HS Satheesh - ACM Computing Surveys …, 2021 - dl.acm.org
Recurrent Neural Networks are ubiquitous and pervasive in many artificial intelligence
applications such as speech recognition, predictive healthcare, creative art, and so on …
applications such as speech recognition, predictive healthcare, creative art, and so on …
Data quality: The other face of big data
B Saha, D Srivastava - 2014 IEEE 30th international conference …, 2014 - ieeexplore.ieee.org
In our Big Data era, data is being generated, collected and analyzed at an unprecedented
scale, and data-driven decision making is sweeping through all aspects of society. Recent …
scale, and data-driven decision making is sweeping through all aspects of society. Recent …
Voice control user interface for low power mode
ME Gunn, PM Kamdar - US Patent 10,304,465, 2019 - Google Patents
A method include placing a first processor in a sleep operating mode and running a second
processor that is operative to wake the first processor from the sleep operating mode in …
processor that is operative to wake the first processor from the sleep operating mode in …
Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams
In this paper, we present an unsupervised learning framework to address the problem of
detecting spoken keywords. Without any transcription information, a Gaussian Mixture Model …
detecting spoken keywords. Without any transcription information, a Gaussian Mixture Model …
Recent developments in spoken term detection: a survey
A Mandal, KR Prasanna Kumar, P Mitra - International Journal of Speech …, 2014 - Springer
Spoken term detection (STD) provides an efficient means for content based indexing of
speech. However, achieving high detection performance, faster speed, detecting ot-of …
speech. However, achieving high detection performance, faster speed, detecting ot-of …
Systems and methods for implicitly interpreting semantically redundant communication modes
EC Kaiser - US Patent 8,457,959, 2013 - Google Patents
(*) Notice: Subject to any disclaimer, the term of this 2005. O197843 A1* 9, 2005 Faisman et
al. TO4, 276 patent is extended or adjusted under 35 2005/0203738 A1* 9/2005 …
al. TO4, 276 patent is extended or adjusted under 35 2005/0203738 A1* 9/2005 …
Voice control user interface with multiple voice processing modules
ME Gunn, PM Kamdar - US Patent 10,366,688, 2019 - Google Patents
A method include placing a first processor in a sleep operating mode and running a second
processor that is operative to wake the first processor from the sleep operating mode in …
processor that is operative to wake the first processor from the sleep operating mode in …
Voice control user interface during low-power mode
ME Gunn, PM Kamdar - US Patent 10,381,002, 2019 - Google Patents
A method include placing a first processor in a sleep operating mode and running a second
processor that is operative to wake the first processor from the sleep operating mode in …
processor that is operative to wake the first processor from the sleep operating mode in …
Attention-based end-to-end models for small-footprint keyword spotting
In this paper, we propose an attention-based end-to-end neural approach for small-footprint
keyword spotting (KWS), which aims to simplify the pipelines of building a production-quality …
keyword spotting (KWS), which aims to simplify the pipelines of building a production-quality …
Voice control user interface during low-power mode
ME Gunn, PM Kamdar - US Patent 10,381,001, 2019 - Google Patents
A method include placing a first processor in a sleep operating mode and running a second
processor that is operative to wake the first processor from the sleep operating mode in …
processor that is operative to wake the first processor from the sleep operating mode in …