Add to ORKG75 p.In this project, a speaker independent Spoken Language Translation (SLT) system is designed. The main purpose of the system is to recognize a small database of isolated words in daily use. The whole system can be divided to two basic modules: training module and recognition module.Master of Science (Signal Processing
In this paper we describe how the translation methodology adopted fro the Spoken Language Translator...
In this paper we describe how the translation methodology adopted fro the Spoken Language Translator...
This thesis develops and evaluates a set of utterance verification (UV) techniques as part of a larg...
With technological advancement in info-communication, speech recognition has become a major area of ...
With technological advancement in info-communication, speech recognition has become a major area of ...
68 p.This project is a comprehensive introduction to Text-To-Speech (TTS) synthesis of a particular ...
Natural language processing enables computer and machines to understand and speak human languages. S...
Automatic Speech Recognition (ASR) systems utilize statistical acoustic and language models to find ...
Human speech recognition in biometric systems is an actual problem, which science intensively deals ...
Speech can be considered as most important aspect of communication among living creatures. A lot of ...
In the recent automatic language identification research, phono-tactic approach has been studied in ...
One of the most common methods for isolated words recognition is based on Hidden Markov models. Spee...
Abstract. When automatically translating between related languages, one of the main sources of machi...
The purpose with this final master degree project was to develop a speech recognition tool, to make ...
The main aim of this project is to develop isolated spoken word recognition system using Hidden Mark...
In this paper we describe how the translation methodology adopted fro the Spoken Language Translator...
In this paper we describe how the translation methodology adopted fro the Spoken Language Translator...
This thesis develops and evaluates a set of utterance verification (UV) techniques as part of a larg...
With technological advancement in info-communication, speech recognition has become a major area of ...
With technological advancement in info-communication, speech recognition has become a major area of ...
68 p.This project is a comprehensive introduction to Text-To-Speech (TTS) synthesis of a particular ...
Natural language processing enables computer and machines to understand and speak human languages. S...
Automatic Speech Recognition (ASR) systems utilize statistical acoustic and language models to find ...
Human speech recognition in biometric systems is an actual problem, which science intensively deals ...
Speech can be considered as most important aspect of communication among living creatures. A lot of ...
In the recent automatic language identification research, phono-tactic approach has been studied in ...
One of the most common methods for isolated words recognition is based on Hidden Markov models. Spee...
Abstract. When automatically translating between related languages, one of the main sources of machi...
The purpose with this final master degree project was to develop a speech recognition tool, to make ...
The main aim of this project is to develop isolated spoken word recognition system using Hidden Mark...
In this paper we describe how the translation methodology adopted fro the Spoken Language Translator...
In this paper we describe how the translation methodology adopted fro the Spoken Language Translator...
This thesis develops and evaluates a set of utterance verification (UV) techniques as part of a larg...