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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 …
End-to-end ASR-free keyword search from speech
Conventional keyword search (KWS) systems for speech databases match the input text
query to the set of word hypotheses generated by an automatic speech recognition (ASR) …
query to the set of word hypotheses generated by an automatic speech recognition (ASR) …
Method and system for efficient spoken term detection using confusion networks
US9196243B2 - Method and system for efficient spoken term detection using confusion
networks - Google Patents US9196243B2 - Method and system for efficient spoken term …
networks - Google Patents US9196243B2 - Method and system for efficient spoken term …
Recent developments in spoken term detection: a survey
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 …
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 …
Spoken content retrieval—beyond cascading speech recognition with text retrieval
Spoken content retrieval refers to directly indexing and retrieving spoken content based on
the audio rather than text descriptions. This potentially eliminates the requirement of …
the audio rather than text descriptions. This potentially eliminates the requirement of …
Conference segmentation based on conversational dynamics
2017-08-02 Assigned to DOLBY LABORATORIES LICENSING CORPORATION
reassignment DOLBY LABORATORIES LICENSING CORPORATION ASSIGNMENT OF …
reassignment DOLBY LABORATORIES LICENSING CORPORATION ASSIGNMENT OF …
Using proxies for OOV keywords in the keyword search task
We propose a simple but effective weighted finite state transducer (WFST) based framework
for handling out-of-vocabulary (OOV) keywords in a speech search task. State-of-the-art …
for handling out-of-vocabulary (OOV) keywords in a speech search task. State-of-the-art …
Crowd counting based on multiscale spatial guided perception aggregation network
Z Chen, S Zhang, X Zheng, X Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Crowd counting has received extensive attention in the field of computer vision, and
methods based on deep convolutional neural networks (CNNs) have made great progress …
methods based on deep convolutional neural networks (CNNs) have made great progress …
Scheduling playback of audio in a virtual acoustic space
2017-09-12 Assigned to DOLBY LABORATORIES LICENSING CORPORATION
reassignment DOLBY LABORATORIES LICENSING CORPORATION ASSIGNMENT OF …
reassignment DOLBY LABORATORIES LICENSING CORPORATION ASSIGNMENT OF …