Human and computer recognition of regional accents and ethnic groups from British English speech
The paralinguistic information in a speech signal includes clues to the geographical and
social background of the speaker. This paper is concerned with automatic extraction of this …
social background of the speaker. This paper is concerned with automatic extraction of this …
Automatic accent identification as an analytical tool for accent robust automatic speech recognition
We present a novel study of relationships between automatic accent identification (AID) and
accent-robust automatic speech recognition (ASR), using i-vector based AID and deep …
accent-robust automatic speech recognition (ASR), using i-vector based AID and deep …
Exploiting convolutional neural networks for phonotactic based dialect identification
In this paper, we investigate different approaches for Dialect Identification (DID) in Arabic
broadcast speech. Dialects differ in their inventory of phonological segments. This paper …
broadcast speech. Dialects differ in their inventory of phonological segments. This paper …
[PDF][PDF] Identification of British English regional accents using fusion of i-vector and multi-accent phonotactic systems.
The para-linguistic information in a speech signal includes clues to the geographical and
social background of the speaker. This paper is concerned with recognition of the 14 …
social background of the speaker. This paper is concerned with recognition of the 14 …
[PDF][PDF] The effect of listener accent background on accent perception and comprehension
A Ikeno, JHL Hansen - EURASIP Journal on Audio, Speech, and Music …, 2007 - Springer
Variability of speaker accent is a challenge for effective human communication as well as
speech technology including automatic speech recognition and accent identification. The …
speech technology including automatic speech recognition and accent identification. The …
Unsupervised model selection for recognition of regional accented speech
This paper is concerned with automatic speech recognition (ASR) for accented speech.
Given a small amount of speech from a new speaker, is it better to apply speaker adaptation …
Given a small amount of speech from a new speaker, is it better to apply speaker adaptation …
Mel-weighted single frequency filtering spectrogram for dialect identification
In this study, we propose Mel-weighted single frequency filtering (SFF) spectrograms for
dialect identification. The spectrum derived using SFF has high spectral resolution for …
dialect identification. The spectrum derived using SFF has high spectral resolution for …
Linguistic-acoustic similarity based accent shift for accent recognition
General accent recognition (AR) models tend to directly extract low-level information from
spectrums, which always significantly overfit on speakers or channels. Considering accent …
spectrums, which always significantly overfit on speakers or channels. Considering accent …
[PDF][PDF] A Review on Grapheme-to-Phoneme Modelling Techniques to Transcribe Pronunciation Variants for Under-Resourced Language.
ABSTRACT A pronunciation dictionary (PD) is one of the components in an Automatic
Speech Recognition (ASR) system, a system that is used to convert speech to text. The …
Speech Recognition (ASR) system, a system that is used to convert speech to text. The …
Automatic phonetic transcription of large speech corpora
C Van Bael, L Boves, H van den Heuvel… - Computer Speech & …, 2007 - Elsevier
Most large speech corpora are delivered with a lexicon that contains a canonical
transcription of every word in the orthographic transcription. Such a lexicon can be used for …
transcription of every word in the orthographic transcription. Such a lexicon can be used for …