Add to ORKGStudentská vědecká konference je pořádána s podporou prostředků na specifický vysokoškolský výzkum SVK1-2018-024
This paper describes an end-to-end approach to perform keyword spotting with a pre-trained acoustic ...
Keyword Spotting (KWS) is handy in many innovative ambient intelligence applications, such as smart ...
Conversational agents commonly utilize keyword spotting (KWS) to initiate voice interaction with the...
The deployment of robust neural network based models on low-cost devices touches the problem with h...
Studentská vědecká konference je pořádána s podporou prostředků na specifický vysokoškolský výzkum S...
We present a novel approach to query-by-example keyword spotting (KWS) using a long short-term memor...
Keyword spotting is a task that requires ultra-low power due to its always-on operation. State-of-th...
© 2018 IEEE. The ubiquitous importance of speech recognition for diverse applications in mobile devi...
International audienceLong Short-Term Memory (LSTM) neural networks offer state-of-the-art results t...
Due to the always-on nature of keyword spotting (KWS) systems, low power consumption micro-controlle...
Our application requires a keyword spotting system with a small memory footprint, low computational ...
The introduction of artificial neural networks (ANNs) to speech recognition applications has sparked...
Models based on attention mechanisms have shown unprecedented speech recognition performance. Howeve...
\u3cp\u3eWith the increasing demand on voice recognition services, more attention is paid to simpler...
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Comput...
This paper describes an end-to-end approach to perform keyword spotting with a pre-trained acoustic ...
Keyword Spotting (KWS) is handy in many innovative ambient intelligence applications, such as smart ...
Conversational agents commonly utilize keyword spotting (KWS) to initiate voice interaction with the...
The deployment of robust neural network based models on low-cost devices touches the problem with h...
Studentská vědecká konference je pořádána s podporou prostředků na specifický vysokoškolský výzkum S...
We present a novel approach to query-by-example keyword spotting (KWS) using a long short-term memor...
Keyword spotting is a task that requires ultra-low power due to its always-on operation. State-of-th...
© 2018 IEEE. The ubiquitous importance of speech recognition for diverse applications in mobile devi...
International audienceLong Short-Term Memory (LSTM) neural networks offer state-of-the-art results t...
Due to the always-on nature of keyword spotting (KWS) systems, low power consumption micro-controlle...
Our application requires a keyword spotting system with a small memory footprint, low computational ...
The introduction of artificial neural networks (ANNs) to speech recognition applications has sparked...
Models based on attention mechanisms have shown unprecedented speech recognition performance. Howeve...
\u3cp\u3eWith the increasing demand on voice recognition services, more attention is paid to simpler...
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Comput...
This paper describes an end-to-end approach to perform keyword spotting with a pre-trained acoustic ...
Keyword Spotting (KWS) is handy in many innovative ambient intelligence applications, such as smart ...
Conversational agents commonly utilize keyword spotting (KWS) to initiate voice interaction with the...