Abstract. Keyword search methods based on subword lattice can exclude the problem of Out of Vocabulary Words and improve quality of keyword search. This paper describes the keyword search method based on subword lattice and a-posteriori probability. In the paper it is proposed to use wavelet-based speech feature vector in order to improve the noise robustness of keyword search. The experiments show good keyword search results in noise conditions for the developed algorithm
In this paper, we further investigate the large vocabulary continuous speech recognition approach to...
Recent works have shown Neural Network based Language Models (NNLMs) to be an effective modeling tec...
In this dissertation, three research directions were explored to alleviate two major issues, i.e., t...
This paper presents a weighted finite state transducer (WFST) based syllable decoding and transducti...
This paper investigates detection of English keywords in a conver-sational scenario using a combinat...
This paper investigates detection of English keywords in a conversational scenario using a combinati...
We address the problem of retrieving spoken information from noisy and heterogeneous audio archives ...
We present design strategies for a keyword spotting (KWS) sys-tem that operates in highly degraded c...
We present a lattice-based STD method for German broadcast news data and compare it to a previously ...
This paper presents a keyword spotting method based on searching a syllable lattice structure. The M...
Searching for keywords in a collection of spoken documents is a challenging task. The use of Automat...
International audienceIn this paper we aim to enhance keyword search for conversational telephone sp...
The problem of discriminating keyword and non-keyword speech which is important in wordspotting appl...
We describe how complementary search spaces, addressed by two different methods used in Spoken Term ...
Abstract. This paper describes several approaches to keyword spotting (KWS) for informal continuous ...
In this paper, we further investigate the large vocabulary continuous speech recognition approach to...
Recent works have shown Neural Network based Language Models (NNLMs) to be an effective modeling tec...
In this dissertation, three research directions were explored to alleviate two major issues, i.e., t...
This paper presents a weighted finite state transducer (WFST) based syllable decoding and transducti...
This paper investigates detection of English keywords in a conver-sational scenario using a combinat...
This paper investigates detection of English keywords in a conversational scenario using a combinati...
We address the problem of retrieving spoken information from noisy and heterogeneous audio archives ...
We present design strategies for a keyword spotting (KWS) sys-tem that operates in highly degraded c...
We present a lattice-based STD method for German broadcast news data and compare it to a previously ...
This paper presents a keyword spotting method based on searching a syllable lattice structure. The M...
Searching for keywords in a collection of spoken documents is a challenging task. The use of Automat...
International audienceIn this paper we aim to enhance keyword search for conversational telephone sp...
The problem of discriminating keyword and non-keyword speech which is important in wordspotting appl...
We describe how complementary search spaces, addressed by two different methods used in Spoken Term ...
Abstract. This paper describes several approaches to keyword spotting (KWS) for informal continuous ...
In this paper, we further investigate the large vocabulary continuous speech recognition approach to...
Recent works have shown Neural Network based Language Models (NNLMs) to be an effective modeling tec...
In this dissertation, three research directions were explored to alleviate two major issues, i.e., t...