In recent years, automatic speech recognition (ASR) has become common in many contexts. It is also slowly beginning to be found in software for computer assisted language learning. One recent application called PhonePass (2005) uses ASR to assess the speaking ability of non-native speakers of English using a norma
Contains fulltext : 162506.pdf (publisher's version ) (Closed access)19 p
The standard framework for developing an automatic speech recognition (ASR) system is to generate tr...
Speech recognition is an interdisciplinary subfield of natural language processing (NLP) that facili...
A renewed focus on foreign language (FL) learning and speech for communication has resulted in compu...
A renewed focus on foreign language (FL) learning and speech for communication has resulted in compu...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
International audienceAutomatic Speech Recognition systems use signal processing and machine learnin...
We describe the protocol used for collecting a corpus of conversational English speech from non-nati...
Automated Speech Recognition (ASR) turns speech audio streams into text. The use of computer-based v...
In free speaking tests candidates respond in spontaneous speech to prompts. This form of test allows...
In free speaking tests candidates respond in spontaneous speech to prompts. This form of test allows...
Introduction Recent advances in speech technology research coupled to the increasing importance of s...
This paper is a report on the current state of the Machine-Aided Spoken Language Evaluation(MASLE)sy...
Abstract: Automatic Speaker Recognition (ASR) is use to recognizing persons from their voice. Since ...
In the contribution several case studies are presented in which automatic speech recognition was tes...
Contains fulltext : 162506.pdf (publisher's version ) (Closed access)19 p
The standard framework for developing an automatic speech recognition (ASR) system is to generate tr...
Speech recognition is an interdisciplinary subfield of natural language processing (NLP) that facili...
A renewed focus on foreign language (FL) learning and speech for communication has resulted in compu...
A renewed focus on foreign language (FL) learning and speech for communication has resulted in compu...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
International audienceAutomatic Speech Recognition systems use signal processing and machine learnin...
We describe the protocol used for collecting a corpus of conversational English speech from non-nati...
Automated Speech Recognition (ASR) turns speech audio streams into text. The use of computer-based v...
In free speaking tests candidates respond in spontaneous speech to prompts. This form of test allows...
In free speaking tests candidates respond in spontaneous speech to prompts. This form of test allows...
Introduction Recent advances in speech technology research coupled to the increasing importance of s...
This paper is a report on the current state of the Machine-Aided Spoken Language Evaluation(MASLE)sy...
Abstract: Automatic Speaker Recognition (ASR) is use to recognizing persons from their voice. Since ...
In the contribution several case studies are presented in which automatic speech recognition was tes...
Contains fulltext : 162506.pdf (publisher's version ) (Closed access)19 p
The standard framework for developing an automatic speech recognition (ASR) system is to generate tr...
Speech recognition is an interdisciplinary subfield of natural language processing (NLP) that facili...