Audio signal processing covers many diverse fields. It has become increasingly popular since the development of virtual assistants. According to the World Health Organization’s (WHO) report updated in March 2015, there are over 360 million people experiencing hearing loss. Therefore, theoretical improvement for audio signal processing attracts much attention in both research and practical applications. Recently, audio signal processing has faced new challenges and potential opportunities in applications due to the technological increase in computational power and the demand for smart and comfortable environments. Consequently, advanced approaches, structures, theories, and tools are necessary for the development of audio signal processing.

It is then an important issue to promote advanced techniques in audio signal processing, applied to a variety of applications. Measurement data play a fundamental role in many fields of audio signal processing research. Usually, the complexity and large volume of data are required to develop advanced analysis and systems. Furthermore, the introduction of new techniques and methodologies, especially in the field of audio, speech, language, and sound, also requires new algorithms and advanced methods.

This Special Issue will provide an exploration on recent trends and advances in audio signal processing towards data science. We place particular emphasis on contributions dealing with practical applications, including the use of advanced methods and devices to show recent research in audio signal processing. We especially welcome research articles on new structure development, theoretical methodology, algorithms for audio system optimization and implementation, particularly for real data applications. Original research and review articles are both welcome.

Potential topics include but are not limited to the following:

• Audio feature extraction and analysis
• Algorithm for digital/analog audio processing
• Audio data coding/decoding
• 3D audio sound effect
• Sound amplification
• Speech enhancement
• Active/passive noise control
• Acoustic noise separation/reduction
• Classification/recognition for audio, language and sound signals
• Artificial Intelligence processing