Automatic Speech Signal Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 3538
Special Issue Editor
Interests: affective computing; pattern recognition; human–computer interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Speech signals are an important medium for Human-to-Computer Interactions. Speech has the advantages of easy access, a small amount of data, a non-line-of-sight effect and other advantages. It is also vulnerable to interference, strong information coupling and other challenges. Major progress is being published regularly on both the technology and exploitation of Automatic Speech Signal Processing (ASSP). However, there are still technological barriers to flexible solutions and user satisfaction under some circumstances. This is related to several factors, such as sensitivity to the environment (background noise) or the weak representation of grammatical and semantic knowledge. Current research also emphasizes deficiencies in dealing with variation naturally present in speech. For instance, the lack of robustness to foreign accents precludes use by specific populations. We are interested in articles that explore robust ASSP systems. Potential topics include but are not limited to the following:
- Automatic speech segmentation and phoneme detection;
- Automatic speech recognition with noised speech;
- Automatic speech translation;
- Automatic speech synthesis;
- Automatic classification of emotions in speech;
- Multi-modal speech recognition with video or physiological signals.
Dr. Lijiang Chen
Guest Editor
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