Sciweavers

Share
RIVF
2007
10 years 1 months ago
Thai Speech Keyword Spotting using Heterogeneous Acoustic Modeling
This paper illustrates the use of acoustic modeling of spoken dialog systems. One major problem with using speech three different structures, including syllables, fillers and recog...
S. Tangruamsub, Proadpran Punyabukkana, Atiwong Su...
ISM
2006
IEEE
158views Multimedia» more  ISM 2006»
10 years 5 months ago
ASEKS: A P2P Audio Search Engine Based on Keyword Spotting
Currently, most search engines are text-based and their structures are centralized. These kinds of engine are sufficient for searching text information in Internet. However, while...
Ruizhi Ye, Yingchun Yang, Zhenyu Shan, Yiyan Liu, ...
ICANN
2007
Springer
10 years 5 months ago
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
Abstract. Keyword spotting is a detection task consisting in discovering the presence of speciļ¬c spoken words in unconstrained speech. The majority of keyword spotting systems ar...
Santiago Fernández, Alex Graves, Jürge...
ICMCS
2008
IEEE
151views Multimedia» more  ICMCS 2008»
10 years 6 months ago
Fast keyword detection with sparse time-frequency models
We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on spa...
Effrosini Kokiopoulou, Pascal Frossard, Olivier Ve...
ICASSP
2009
IEEE
10 years 6 months ago
Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks
In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...
Martin Wöllmer, Florian Eyben, Joseph Keshet,...
books