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Semantically Expanded Spoken Term Detection
IEEE AccessSpoken term detection (STD) is effectively implemented using fundamental techniques such as automatic speech recognition (ASR) and information retrieval.
Zhanibek Kozhirbayev +1 more
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Optimization of Spoken Term Detection System [PDF]
Journal of Applied Mathematics, 2012 Generally speaking, spoken term detection system will degrade significantly because of mismatch between acoustic model and spontaneous speech. This paper presents an improved spoken term detection strategy, which integrated with a novel phoneme confusion
Chuanxu Wang, Pengyuan Zhang
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ALBAYZIN 2018 spoken term detection evaluation: a multi-domain international evaluation in Spanish [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2019 Search on speech (SoS) is a challenging area due to the huge amount of information stored in audio and video repositories. Spoken term detection (STD) is an SoS-related task aiming to retrieve data from a speech repository given a textual representation ...
Javier Tejedor +7 more
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Whisper-based spoken term detection systems for search on speech ALBAYZIN evaluation challenge
EURASIP Journal on Audio, Speech, and Music ProcessingThe vast amount of information stored in audio repositories makes necessary the development of efficient and automatic methods to search on audio content. In that direction, search on speech (SoS) has received much attention in the last decades.
Javier Tejedor, Doroteo T. Toledano
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ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2018 Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input.
Javier Tejedor +9 more
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Biomimetic Computing for Efficient Spoken Language Identification [PDF]
BiomimeticsSpoken Language Identification (SLID)-based applications have become increasingly important in everyday life, driven by advancements in artificial intelligence and machine learning.
Gaurav Kumar, Saurabh Bhardwaj
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EURASIP Journal on Audio, Speech, and Music Processing, 2019 The huge amount of information stored in audio and video repositories makes search on speech (SoS) a priority area nowadays. Within SoS, Query-by-Example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given a spoken query.
Javier Tejedor +6 more
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IEEE AccessQuery-by-example spoken term detection (QbE-STD) refers to the search for an audio query in a repository of audio utterances. A common approach for QbE-STD involves computing a matching matrix between the feature representations of the query and the ...
Manisha Naik Gaonkar +3 more
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The architecture of a system for full-text search by speech data based on a global search index [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2021 This paper presents the architecture of a system for full-text search by speech data based on a global search index that combines information about all speech recordings in the archive. The architecture includes two independent blocks: an indexing block,
Oleg E. Petrov
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Detect Multi Spoken Languages Using Bidirectional Long Short-Term Memory [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2023 Many speaker language detection systems depend on deep learning (DL) approaches, and utilize long recorded audio periods to achieve satisfactory accuracy.
Fawziya Ramo, Mohammed Kannah
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