Add to ORKGThis paper describes preliminary results of automatic recognition of Korean broadcast-news speech. We have been working on flexible vocabulary isolated-word speech recognition, and the same HMM models are used for broadcast-news continuous speech recognition. The recognizer is trained by using phonetically balanced isolated words speech, rather than the broadcast news speech itself. In this research, we use several different lexica to investigate the recognition performance according to the length of the words. We also propose a long-distance bigram language model, which can be used at the first stage of the search, so that it can reduce the recognition errors caused by earlier pruning of correct hypothesis. 1
Myanmar language is a tonal and analyticlanguage. It can be considered as an under-resourcedlanguage...
In state-of-the-art large vocabulary automatic recognition systems, a large statistical language mod...
This paper is about different methods and algorithms that were used for speaker identification from ...
This paper presents a Korean large vocabulary continuous speech recognition system based on pseudomo...
Purpose: The aim of this study was to develop and validate a large Korean sentence set with varying ...
This paper compares different ways of estimating bigram language models and of representing them in ...
This paper compares different ways of estimating bigram language models and of representing them in ...
This paper describes our efforts in extending a large vocabulary speech recognition system to handle...
In this work we investigate methods to extend the lexicon of a broadcast news (BN) speech recognitio...
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In this paper, a basic Mandarin broadcast news speech recognition system is constructed using the MA...
[[abstract]]This study investigates language modeling for Mandarin continuous speech recognition. Fi...
This paper describes first results of our DARPA-sponsored efforts toward recognizing and browsing fo...
While significant improvements have been made over the last 5 years in large vocabulary continuous s...
This paper describes first results of our DARPA-sponsored efforts toward recognizing and browsing fo...
Myanmar language is a tonal and analyticlanguage. It can be considered as an under-resourcedlanguage...
In state-of-the-art large vocabulary automatic recognition systems, a large statistical language mod...
This paper is about different methods and algorithms that were used for speaker identification from ...
This paper presents a Korean large vocabulary continuous speech recognition system based on pseudomo...
Purpose: The aim of this study was to develop and validate a large Korean sentence set with varying ...
This paper compares different ways of estimating bigram language models and of representing them in ...
This paper compares different ways of estimating bigram language models and of representing them in ...
This paper describes our efforts in extending a large vocabulary speech recognition system to handle...
In this work we investigate methods to extend the lexicon of a broadcast news (BN) speech recognitio...
In this paper, a new database suitable for HMM-based automatic Filipino speech recognition is descri...
In this paper, a basic Mandarin broadcast news speech recognition system is constructed using the MA...
[[abstract]]This study investigates language modeling for Mandarin continuous speech recognition. Fi...
This paper describes first results of our DARPA-sponsored efforts toward recognizing and browsing fo...
While significant improvements have been made over the last 5 years in large vocabulary continuous s...
This paper describes first results of our DARPA-sponsored efforts toward recognizing and browsing fo...
Myanmar language is a tonal and analyticlanguage. It can be considered as an under-resourcedlanguage...
In state-of-the-art large vocabulary automatic recognition systems, a large statistical language mod...
This paper is about different methods and algorithms that were used for speaker identification from ...