Add to ORKGSpoken languages are often rich in regional accents and dialects. These local variations often pose challenges to automatic speech recognition. In this study, we analyse the influence of German regional accents on the performance of a large vocabulary continuous speech recogniser trained on standard German data. The experiments show a large variation in the error rate over different regions. We investigate the influence of phoneme-level variations on recognition errors and use our findings to build a dialect recognition system
In foreign-accented speech, pronunciation typically deviates from the canonical form to some degree....
Summarization: Several adaptation approaches have been proposed in an effort to improve the speech r...
The research project “German Today ” aims to determine the amount of regional variation in (near-)st...
Automatic speech recognition is a very important technique for numerous applications like automatic ...
The newest generation of speech technology caused a huge increase of audio-visual data nowadays bein...
Automatic speech recognition is a requested technique in many fields like automatic subtitling, dial...
We investigate the occurrence of six classes of pronounciation variants in a very large corpus of sp...
In this paper we describe the large-scale German broadcast corpus (GER-TV1000h) containing more than...
Abstract. This paper addresses accent1 issues in large vocabulary continuous speech recognition. Cro...
Several adaptation approaches have been proposed in an eort to improve the speech recognition perfor...
In foreign-accented speech, pronunciation typically deviates from the canonical form to some degree....
Major progress is being recorded regularly on both the technology and exploitation of automatic spee...
Accent variability is an important factor in speech that can sig-nificantly degrade automatic speech...
A new approach to continuous speech recognition (CSR) for German is presented, which integrates both...
Most widely spoken languages have numerous dialects or accents which can vary in degree of mutual in...
In foreign-accented speech, pronunciation typically deviates from the canonical form to some degree....
Summarization: Several adaptation approaches have been proposed in an effort to improve the speech r...
The research project “German Today ” aims to determine the amount of regional variation in (near-)st...
Automatic speech recognition is a very important technique for numerous applications like automatic ...
The newest generation of speech technology caused a huge increase of audio-visual data nowadays bein...
Automatic speech recognition is a requested technique in many fields like automatic subtitling, dial...
We investigate the occurrence of six classes of pronounciation variants in a very large corpus of sp...
In this paper we describe the large-scale German broadcast corpus (GER-TV1000h) containing more than...
Abstract. This paper addresses accent1 issues in large vocabulary continuous speech recognition. Cro...
Several adaptation approaches have been proposed in an eort to improve the speech recognition perfor...
In foreign-accented speech, pronunciation typically deviates from the canonical form to some degree....
Major progress is being recorded regularly on both the technology and exploitation of automatic spee...
Accent variability is an important factor in speech that can sig-nificantly degrade automatic speech...
A new approach to continuous speech recognition (CSR) for German is presented, which integrates both...
Most widely spoken languages have numerous dialects or accents which can vary in degree of mutual in...
In foreign-accented speech, pronunciation typically deviates from the canonical form to some degree....
Summarization: Several adaptation approaches have been proposed in an effort to improve the speech r...
The research project “German Today ” aims to determine the amount of regional variation in (near-)st...