Add to ORKGThe result of this thesis is a modified speech recognizer developed by the company Phonexia, in which new words that are not part of its dictionary can be added dynamically. The chosen method that was implemented works by inserting finite automata with new words directly into a modified static recognition network describing combined language and pronunciation model of the recognizer in places that are specified in advance. This method offers comparable results with a speech recognizer without modification
Spontaneous speech adds a variety of phenomena to a speech recognition task: false starts, human and...
The MIT SUMMIT speech recognition system models pronunciation using a phonemic baseform dictionary a...
In the last few years the field of computer speech recognition has come into its own as a practical ...
The result of this work is a fully working and significantly optimized implementation of a dynamic d...
This paper describes a model which enables a speech recognition system to automatically detect new w...
In a system of speech recognition containing words, the recognition requires the com-parison between...
This work describes a Finite State Network (FSN), isolated word, speaker dependent, real time Automa...
International audienceTo enhance the recognition lexicon, it is important to be able to add pronunci...
A regular automatic speech recognizer works with a so-called recognition lexicon. This lexicon conta...
In this paper, we present an automatic speech recognition (ASR) system based on the combination of a...
In speech recognition systems language model (LMs) are often constructed by training and combining m...
In today's society, speech recognition systems have reached a mass audience, especially in the field...
A large vocabulary isolated word recognition system based on the hypothesize-and-test paradigm is de...
An artificial neural network has been trained by the error back-propagation technique to recognise p...
Speech technologies are being developed intensively in the recent years, especially the automatic sp...
Spontaneous speech adds a variety of phenomena to a speech recognition task: false starts, human and...
The MIT SUMMIT speech recognition system models pronunciation using a phonemic baseform dictionary a...
In the last few years the field of computer speech recognition has come into its own as a practical ...
The result of this work is a fully working and significantly optimized implementation of a dynamic d...
This paper describes a model which enables a speech recognition system to automatically detect new w...
In a system of speech recognition containing words, the recognition requires the com-parison between...
This work describes a Finite State Network (FSN), isolated word, speaker dependent, real time Automa...
International audienceTo enhance the recognition lexicon, it is important to be able to add pronunci...
A regular automatic speech recognizer works with a so-called recognition lexicon. This lexicon conta...
In this paper, we present an automatic speech recognition (ASR) system based on the combination of a...
In speech recognition systems language model (LMs) are often constructed by training and combining m...
In today's society, speech recognition systems have reached a mass audience, especially in the field...
A large vocabulary isolated word recognition system based on the hypothesize-and-test paradigm is de...
An artificial neural network has been trained by the error back-propagation technique to recognise p...
Speech technologies are being developed intensively in the recent years, especially the automatic sp...
Spontaneous speech adds a variety of phenomena to a speech recognition task: false starts, human and...
The MIT SUMMIT speech recognition system models pronunciation using a phonemic baseform dictionary a...
In the last few years the field of computer speech recognition has come into its own as a practical ...