Results 21 to 30 of about 288,136 (202)

Stochastic pronunciation modelling for spoken term detection [PDF]

Interspeech 2009, 2009
A major challenge faced by a spoken term detection (STD) system is the detection of out-of-vocabulary (OOV) terms. Although a subword-based STD system is able to detect OOV terms, performance reduction is always observed compared to in-vocabulary terms.
Wang, Dong, King, Simon, Frankel, Joe
openaire   +3 more sources

Deep Learning-Based Detection of Inappropriate Speech Content for Film Censorship

IEEE Access, 2022
Audible content has become an effective tool for shaping one’s personality and character due to the ease of accessibility to a huge audible content that could be an independent audio files or an audio of online videos, movies, and television ...
Abdulaziz Saleh Ba Wazir, Hezerul Abdul Karim, Hor Sui Lyn, Mohammad Faizal Ahmad Fauzi, Sarina Mansor, Mohd Haris Lye   +5 more
doaj   +1 more source

Spoken term detection from noisy input [PDF]

2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2011
The aim of the spoken term detection task is to find the occurrence of user-entered keywords in an archive of audio recordings. The kind of techniques that are used usually are vocabulary-independent, using only the acoustic information available. In this scenario, however, we rely exclusively on the acoustic model, which is a drawback when it is ...
Gosztolya Gábor, Kovács György, Tóth László   +2 more
openaire   +2 more sources

Evolutionary discriminative confidence estimation for spoken term detection [PDF]

, 2013
The final publication is available at Springer via http://dx.doi.org/10.1007/s11042-011-0913-zSpoken term detection (STD) is the task of searching for occurrences of spoken terms in audio archives.
A Sierra, A Sierra, Alejandro Echeverría, D Wang, D Watson, Dong Wang, HG Beyer, I Szöke, I Szöke, I Szöke, Javier Tejedor, K Thambiratmann, M Bisani, M Mitchell, M Rocha, M Rocha, O Cordón, R Damper, RA Fisher, Ravichander Vipperla, SH Chen, T Hain, T Mantere, W Daelemans, Z Michalewicz   +24 more
core   +2 more sources

Spoken term detection ALBAYZIN 2014 evaluation: overview, systems, results, and discussion [PDF]

, 2015
The electronic version of this article is the complete one and can be found online at: http://dx.doi.org/10.1186/s13636-015-0063-8Spoken term detection (STD) aims at retrieving data from a speech repository given a textual representation of the search ...
A Abad, A Cardenal-Lopez, A Cardenal-López, A Jansen, A Jansen, A Martin, A Moreno, A Moreno, A Moreno-Sandoval, A Stolcke, Alejandro Coucheiro-Limeres, AM Azmi, Antonio Cardenal, Antonio Miguel, B Logan, B Logan, B Ma, B Taras, B Zhang, C Ni, C Parada, Carmen Garcia-Mateo, CJ Chen, D Can, D Karakos, D Povey, D Vergyri, D Vergyri, Doroteo T. Toledano, F Metze, F Metze, GJF Jones, H Joho, H Joho, H Su, H-Y Lee, H-Y Lee, HVD Heuvel, I Szöke, I Szöke, I-F Chen, I-F Chen, J Chiu, J Chiu, J Chiu, J Garofolo, J Li, J Mamou, J Mamou, J Pinto, J Tejedor, J Tejedor, J Trmal, J van Hout, Javier Tejedor, JG Fiscus, Julia Olcoz, Julian David Echeverry-Correa, K Iwata, K Thambiratmann, KM Knill, KM Knill, L Docío-Fernández, L Mangu, Laura Docio-Fernandez, LJ Rodríguez-Fuentes, M Bisani, M Cai, M Ma, M Saraclar, M Wollmer, M Zelenák, MJF Gales, MS Seigel, N Rajput, NF Chen, NF Chen, P Yu, Paula Lopez-Otero, R Justo, S Nakagawa, SP Rath, T Ng, T Ohno, T Sakai, V Mitra, V-B Le, X Anguera   +87 more
core   +4 more sources

Query-Driven Strategy for On-the-Fly Term Spotting in Spontaneous Speech

EURASIP Journal on Audio, Speech, and Music Processing, 2010
Spoken utterance retrieval was largely studied in the last decades, with the purpose of indexing large audio databases or of detecting keywords in continuous speech streams.
Rouvier Mickael, Linarès Georges, Lecouteux Benjamin   +2 more
doaj   +2 more sources

Sparse Transcription

Computational Linguistics, 2021
The transcription bottleneck is often cited as a major obstacle for efforts to document the world’s endangered languages and supply them with language technologies.
Steven Bird
doaj   +1 more source

Intelligent system for spoken term detection using the belief combination [PDF]

, 2017
Spoken Term Detection (STD) can be considered as a sub-part of the automatic speech recognition which aims to extract the partial information from speech signals in the form of query utterances.
Khan, Wasiq, Kuru, Kaya
core   +2 more sources

Using conversational word bursts in spoken term detection [PDF]

Interspeech 2013, 2013
We describe a language independent word burst feature based on the structure of conversational speech that can be used to improve spoken term detection (STD) performance. Word burst refers to a phenomenon in conversational speech in which particular content words tend to occur in close proximity of each other as a byproduct of the topic under ...
Chiu, Justin, Rudnicky, Alexander
openaire   +1 more source

LSTM Based Lip Reading Approach for Devanagiri Script

Advances in Distributed Computing and Artificial Intelligence Journal, 2020
Speech Communication in a noisy environment is a difficult and challenging task. Many professionals work in noisy environments like aviation, constructions, or manufacturing, and find it difficult to communicate orally.
Satyadhyan CHICKERUR, Mahesh S PATIL, Anand METI, Priyanka M NABAPURE, Sunaina MAHINDRAKAR, Sonali NAIK, Soumya KANYAL   +6 more
doaj   +1 more source