4 accepted papers
Speakers change vocal intensity in daily life to communicate over long distances and to express vocal emotions. Humans produce speech using different intensity categories (e.g. soft, normal and loud voice) and they can regulate intensity across a wide sound pressure level (SPL) range. Knowing the in…
Regulation of vocal intensity is a fundamental phenomenon in speech communication. Vocal intensity can be quantified using sound pressure level (SPL), which can be measured easily by recording a standard calibration signal with speech and by comparing the energy of the recorded speech signal with th…
Automatic detection of voice disorders from acoustic speech signals can help to improve reliability of medical diagnosis. However, the real-life environment in which speech signals are recorded for diagnosis can be different from the environment in which the detection system’s training data was orig…
Automatic detection and severity level classification of dysarthria directly from acoustic speech signals can be used as a tool in medical diagnosis. In this work, the pre-trained wav2vec 2.0 model is studied as a feature extractor to build detection and severity level classification systems for dys…