Automatic speech recognition and speech variability: A review
Major progress is being recorded regularly on both the technology and exploitation of
automatic speech recognition (ASR) and spoken language systems. However, there are still …
automatic speech recognition (ASR) and spoken language systems. However, there are still …
On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art
This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …
voice condition analysis systems. The goal of this paper is to provide to the scientific …
Layer-wise fast adaptation for end-to-end multi-accent speech recognition
The variety and complexity of accents pose a huge challenge to robust Automatic Speech
Recognition (ASR). Some previous work has attempted to address such problems, however …
Recognition (ASR). Some previous work has attempted to address such problems, however …
Investigating the effects of gender, dialect, and training size on the performance of Arabic speech recognition
Research in Arabic automatic speech recognition (ASR) is constrained by datasets of limited
size, and of highly variable content and quality. Arabic-language resources vary in the …
size, and of highly variable content and quality. Arabic-language resources vary in the …
Automatic accent identification using Gaussian mixture models
It is well known that speaker variability caused by accent is an important factor io speech
recognition. Some major accents in China are so different as to make this problem very …
recognition. Some major accents in China are so different as to make this problem very …
Accented speech recognition: A survey
A Hinsvark, N Delworth, M Del Rio… - ar**/links/6554929ace88b87031e9b54f/Improvement-of-Accent-Classification-Models-Through-Grad-Transfer-From-Spectrograms-and-Gradient-Weighted-Class-Activation-Map**.pdf" data-clk="hl=pl&sa=T&oi=gga&ct=gga&cd=7&d=11971177412404410968&ei=KAmoZ53wB4Ky6rQPkvTT2A0" data-clk-atid="WHqLOW4qIqYJ" target="_blank">[PDF] researchgate.net
Improvement of accent classification models through Grad-Transfer from Spectrograms and Gradient-weighted Class Activation Map**
Automatic accent classification is an active research field concerning speech processing. It
can be useful to identify a speaker's region of origin, which can be applied in police …
can be useful to identify a speaker's region of origin, which can be applied in police …
[PDF][PDF] A Multi-Accent Acoustic Model Using Mixture of Experts for Speech Recognition.
A major challenge in Automatic Speech Recognition (ASR) systems is to handle speech
from a diverse set of accents. A model trained using a single accent performs rather poorly …
from a diverse set of accents. A model trained using a single accent performs rather poorly …
How accents confound: Probing for accent information in end-to-end speech recognition systems
In this work, we present a detailed analysis of how accent information is reflected in the
internal representation of speech in an end-to-end automatic speech recognition (ASR) …
internal representation of speech in an end-to-end automatic speech recognition (ASR) …