Results 111 to 120 of about 21,687 (132)

Combined MFCC-FBCC Features for Unsupervised Query-by-Example Spoken Term Detection

2015
A new set of features for addressing the problem of unsupervised spoken term detection is proposed in this paper. If we have a large audio database, the objective of this system is to find a spoken query in the databases. In unsupervised audio search, language specific resources are not required.
Drisya Vasudev, Suryakanth V. Vasudev, K. K. Anish Babu, K. S. Riyas   +3 more
openaire   +1 more source

Query-by-example spoken term detection using bottleneck feature and Hidden Markov model

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015
Query by example spoken term detection (QbE-STD) is an effective search mechanism to find spoken queries in spoken audio, especially for the source limited language. The dynamic time warping (DTW) algorithm is the state-of-art algorithm in this area. This paper presents some methods to improve the QbE-STD performance.
null Xue Liu, null Wu Guo, null Niansong Wang   +2 more
openaire   +1 more source

A Refined Query-by-Example Approach to Spoken-Term-Detection on ESL learners’ Speech

2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2018
A refined Query-by-Example (QbE) approach is proposed to improve Spoken-Term-Detection (STD) performance on L2 English learners’ speech data. A Hidden Markov Model (HMM) is built for each keyword and a computationally efficient, iterative Viterbi decoding is adopted to detect spoken keywords in test.
Jingyong Hou, Wenping Hu, Frank K. Soong, Lei Xie   +3 more
openaire   +1 more source

Query-by-Example Spoken Term Detection System Based on Phoneme Posterior Features

2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), 2017
Spoken term detection (STD) provides an efficient means for keyword indexing of speech. However, achieving high detection performance, fast speed, detecting out-of-vocabulary (OOV) words and performing STD on low resource languages are some of the major research challenges.
openaire   +1 more source

Self-Supervised Spoken Term Detection for Query by Example

Ingénierie des systèmes d information
Nadia Benati, Halima Bahi
openaire   +1 more source

Transfer learning-based query classification for intelligent building information spoken dialogue

Automation in Construction, 2022
Ning Wang
exaly  

Query-by-Example Spoken Term Detection using Frequency Domain Linear Prediction and Non-Segmental Dynamic Time Warping

IEEE/ACM Transactions on Audio Speech and Language Processing, 2014
Kishore Prahallad
exaly  

Unsupervised Bottleneck Features for Low-Resource Query-by-Example Spoken Term Detection

Interspeech 2016, 2016
Hongjie Chen, Cheung-Chi Leung, Lei Xie, Bin Ma, Haizhou Li   +4 more
openaire   +1 more source

Comparison of methods for language-dependent and language-independent query-by-example spoken term detection

ACM Transactions on Information Systems, 2012
Javier Tejedor
exaly  

Design of mixture of GMMs for Query-by-Example Spoken Term Detection

Computer Speech and Language, 2018
Maulik C Madhavi
exaly