Results 141 to 150 of about 288,136 (202)

Order-free spoken term detection

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
In this paper, we propose Time-Marked Word (TMW) lists as a replacement for the lattices and Confusion Networks (CNs) widely used as indexing vehicles for Spoken Term Detection (STD). In a TMWlist, candidates are simply tagged with posterior probabilities and time information and stored as a large list of words: the additional ordering present in a ...
Lidia Mangu, George Saon, Michael Picheny, Brian Kingsbury   +3 more
openaire   +1 more source

A Stage Match for Query-by-Example Spoken Term Detection Based On Structure Information of Query

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
The state-of-the-art of query-by-example spoken term detection (QbE-STD) strategies are usually based on segmental dynamic time warping (S-DTW). However, the sliding window in S-DTW may separate signal of a word into different segments and produce many ...
Junyao Zhan, Qianhua He, Jian Su, Yanxiong Li   +3 more
semanticscholar   +1 more source

Model-Based Unsupervised Spoken Term Detection with Spoken Queries

IEEE Transactions on Audio, Speech, and Language Processing, 2013
We present a set of model-based approaches for unsupervised spoken term detection (STD) with spoken queries that requires neither speech recognition nor annotated data. This work shows the possibilities in migrating from DTW-based to model-based approaches for unsupervised STD. The proposed approach consists of three components: self-organizing models,
null Chun-an Chan, null Lin-shan Lee
openaire   +1 more source

Query-by-Example Spoken Term Detection using Attentive Pooling Networks at ALBAYZIN 2020 Evaluation: The AUDIAS-UAM System

IberSPEECH Conference, 2021
Query-by-example Spoken Term Detection (QbE-STD) is a key technology to harness the large amount of audiovisual content that is being stored and generated nowadays.
Juan Ignacio Alvarez-Trejos, Doroteo Torre Toledano   +1 more
semanticscholar   +1 more source

Improves Neural Acoustic Word Embeddings Query by Example Spoken Term Detection with Wav2vec Pretraining and Circle Loss

International Symposium on Chinese Spoken Language Processing, 2021
Query by example spoken term detection (QbE-STD) is a popular keyword detection method in the absence of speech resources. It can build a keyword query system with decent performance when there are few labeled speeches and a lack of pronunciation ...
Zhaoqi Li, Long Wu, Ta Li, Yonghong Yan
semanticscholar   +1 more source

Exploiting diversity for spoken term detection

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
The paper describes a state-of-the-art spoken term detection system in which significant improvements are obtained by diversifying the ASR engines used for indexing and combining the search results. First, we describe the design factors that, when varied, produce complementary STD systems and show that the performance of the combined system is 3 times ...
Lidia Mangu, Hagen Soltau, Hong-Kwang Kuo, Brian Kingsbury, George Saon   +4 more
openaire   +1 more source

Robust Query-by-example Spoken Term Detection for Unknown Words Using Speech Retrieval-oriented E2E ASR Modeling

Global Conference on Consumer Electronics, 2021
Query-by-example spoken term detection (STD) systems can make good use of automatic speech recognition (ASR), especially when the error rate is low. However, ASR suffers from the out-of-vocabulary (OOV) problem.
Takumi Kurokawa, A. Kai
semanticscholar   +1 more source

Language-Agnostic Speech Tokenizer for Spoken Term Detection with Efficient Retrieval

Interspeech
The surge in multilingual and code-switched spoken content demands efficient Query-by-Example Spoken Term Detection (STD) systems capable of handling diverse languages.
Anup Singh, Kris Demuynck, Vipul Arora
semanticscholar   +1 more source

Assessing search term strength in spoken term detection

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2013
Spoken term detection (STD) is an extension of text-based searching that allows users to type keywords and search audio files containing recordings of spoken language. Performance is dependent on many external factors such as the acoustic channel, the language and the confusability of the search term.
Amir Hossein Harati Nejad Torbati, J. Picone   +1 more
openaire   +1 more source

StyU-STD: Style-Diverse Sample Generation from Unlabeled Data for Query-by-Example Spoken Term Detection

IEEE International Conference on Systems, Man and Cybernetics
In recent years, query-by-example spoken term detection (QbE-STD) techniques have made significant progress in detection accuracy and speed. However, this task also encounters situations where labeled data is scarce or even nonexistent, with only ...
Hanyu Ding, L. Gao, Wenlong Dong, Xiangrui Li, Qirong Mao   +4 more
semanticscholar   +1 more source