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Large Language Models and 3D Vision for Intelligent Robotic Perception and Autonomy. [PDF]
Sensors (Basel)Mehta V, Sharma C, Thiyagarajan K.
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A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities. [PDF]
Sensors (Basel)Govindharajalu Kaliyaperumal V +1 more
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Multitask Feature Learning for Low-Resource Query-by-Example Spoken Term Detection
IEEE Journal of Selected Topics in Signal Processing, 2017We propose a novel technique that learns a low-dimensional feature representation from unlabeled data of a target language, and labeled data from a nontarget language. The technique is studied as a solution to query-by-example spoken term detection (QbE-STD) for a low-resource language.
Hongjie Chen +4 more
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Query-by-example Spoken Term Detection For OOV terms
2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009The goal of Spoken Term Detection (STD) technology is to allow open vocabulary search over large collections of speech content. In this paper, we address cases where search term(s) of interest (queries) are acoustic examples. This is provided either by identifying a region of interest in a speech stream or by speaking the query term.
Carolina Parada +2 more
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Query-by-example spoken term detection using bessel features
2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015In this paper, a new set of features for addressing the problem of unsupervised query-by-example spoken term detection is proposed. The main purpose of this is to find a spoken query in large speech databases. In unsupervised audio search, language specific resources are not required.
Drisya Vasudev +3 more
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Query-by-Example Spoken Term Detection using Attentive Pooling Networks
2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019Query-by-example spoken term detection (QbE-STD) is attractive because its a key technology for retrieving and browsing spoken content without transcribing them into text. Several end-to-end models based on encoder architecture have been proposed for QbE-STD, in which the input pair, spoken query and audio segment, are first projected into fixed-length
Kun Zhang +4 more
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Query-by-example spoken term detection using phonetic posteriorgram templates
2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009This paper examines a query-by-example approach to spoken term detection in audio files. The approach is designed for low-resource situations in which limited or no in-domain training material is available and accurate word-based speech recognition capability is unavailable.
Timothy J. Hazen +2 more
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Multilingual query-by-example spoken term detection in Indian languages
International Journal of Speech Technology, 2019Spoken language processing poses to be a challenging task in multilingual and mixlingual scenario in linguistically diverse regions like Indian subcontinent. Common articulatory based framework is explored for the representation of phonemes of different languages.
Abhimanyu Popli, Arun Kumar
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A comparison of query-by-example methods for spoken term detection
Interspeech 2009, 2009Abstract : In this paper we examine an alternative interface for phonetic search, namely query-by-example, that avoids OOV issues associated with both standard word-based and phonetic search methods. We develop three methods that compare query lattices derived from example audio against a standard ngrambased phonetic index and we analyze factors ...
Wade Shen +2 more
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