Results 31 to 40 of about 288,136 (202)
A Multi-Layer Holistic Approach for Cursive Text Recognition
Applied Sciences, 2022 Urdu is a widely spoken and narrated language in several South-Asian countries and communities worldwide. It is relatively hard to recognize Urdu text compared to other languages due to its cursive writing style.
Muhammad Umair +6 more
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Journal of King Saud University: Computer and Information Sciences, 2021 Language-independent spoken term detection (LI-STD) refers to the process of locating the occurrences of spoken queries from speech databases of any language.
G. Deekshitha, L. Mary
semanticscholar +1 more source
English spoken term detection in multilingual recordings [PDF]
Interspeech 2010, 2010 This paper investigates the automatic detection of English spoken terms in a multi-language scenario over real lecture recordings. Spoken Term Detection (STD) is based on an LVCSR where the output is represented in the form of word lattices. The lattices are then used to search the required terms.
Petr Motlicek +2 more
openaire +2 more sources
Dementia Detection from Speech: What If Language Models Are Not the Answer?
Information, 2023 A growing focus among scientists has been on researching the techniques of automatic detection of dementia that can be applied to the speech samples of individuals with dementia.
Mondher Bouazizi +3 more
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Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection [PDF]
International Symposium on Chinese Spoken Language Processing, 2020 In this paper, we propose a deep convolutional neural network-based acoustic word embedding system for code-switching query by example spoken term detection.
Murong Ma +5 more
semanticscholar +1 more source
Spoken term detection using fast phonetic decoding [PDF]
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009 While spoken term detection (STD) systems based on word indices provide good accuracy, there are several practical applications where it is infeasible or too costly to employ an LVCSR engine. An STD system is presented, which is designed to incorporate a fast phonetic decoding front-end and be robust to decoding errors whilst still allowing for rapid ...
Wallace, Roy +2 more
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EURASIP Journal on Audio, Speech, and Music Processing, 2017 Within search-on-speech, Spoken Term Detection (STD) aims to retrieve data from a speech repository given a textual representation of a search term. This paper presents an international open evaluation for search-on-speech based on STD in Spanish and an ...
Javier Tejedor +9 more
doaj +1 more source
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
NeuroSci, 2022 This study focuses on the automatic decoding of inner speech using noninvasive methods, such as Electroencephalography (EEG). While inner speech has been a research topic in philosophy and psychology for half a century, recent attempts have been made to ...
Foteini Simistira Liwicki +4 more
doaj +1 more source
Access to recorded interviews: A research agenda [PDF]
, 2008 Recorded interviews form a rich basis for scholarly inquiry. Examples include oral histories, community memory projects, and interviews conducted for broadcast media.
Heeren, W.F.L. +3 more
core +3 more sources
Joint Recognition of Intent and Semantic Slot Filling Combining Multiple Constraints
Jisuanji kexue yu tansuo, 2020 Spoken language understanding (SLU) consists of two sub-tasks, which are intent detection and semantic slot filling. Although the existing joint modeling methods realize the sharing of model parameters and apply the result of intent detection to semantic
HOU Lixian, LI Yanling, LIN Min, LI Chengcheng
doaj +1 more source