Speaker recognition based on deep learning: An overview
Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …
learning has dramatically revolutionized speaker recognition. However, there is lack of …
Deep spoken keyword spotting: An overview
Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …
Convmixer: Feature interactive convolution with curriculum learning for small footprint and noisy far-field keyword spotting
Building efficient architecture in neural speech processing is paramount to success in
keyword spotting deployment. However, it is very challenging for lightweight models to …
keyword spotting deployment. However, it is very challenging for lightweight models to …
Improving multi-scale aggregation using feature pyramid module for robust speaker verification of variable-duration utterances
Currently, the most widely used approach for speaker verification is the deep speaker
embedding learning. In this approach, we obtain a speaker embedding vector by pooling …
embedding learning. In this approach, we obtain a speaker embedding vector by pooling …
A unified deep learning framework for short-duration speaker verification in adverse environments
Speaker verification (SV) has recently attracted considerable research interest due to the
growing popularity of virtual assistants. At the same time, there is an increasing requirement …
growing popularity of virtual assistants. At the same time, there is an increasing requirement …
Towards on-device domain adaptation for noise-robust keyword spotting
The accuracy of a keyword spotting model deployed on embedded devices often degrades
when the system is exposed to real environments with significant noise. In this paper, we …
when the system is exposed to real environments with significant noise. In this paper, we …
[HTML][HTML] A multi-task network for speaker and command recognition in industrial environments
In industrial environments, it is crucial to establish a strong collaboration between humans
and robots to enhance productivity. However, the nature of the work demands that workers …
and robots to enhance productivity. However, the nature of the work demands that workers …
Audio-visual wake word spotting in misp2021 challenge: Dataset release and deep analysis
In this paper, we describe and release publicly the audio-visual wake word spotting (WWS)
database in the MISP2021 Challenge, which covers a range of scenarios of audio and video …
database in the MISP2021 Challenge, which covers a range of scenarios of audio and video …
Personalized keyword spotting through multi-task learning
Keyword spotting (KWS) plays an essential role in enabling speech-based user interaction
on smart devices, and conventional KWS (C-KWS) approaches have concentrated on …
on smart devices, and conventional KWS (C-KWS) approaches have concentrated on …
A multi-tasking model of speaker-keyword classification for keeping human in the loop of drone-assisted inspection
Audio commands are a preferred communication medium to keep inspectors in the loop of
civil infrastructure inspection performed by a semi-autonomous drone. To understand job …
civil infrastructure inspection performed by a semi-autonomous drone. To understand job …