Most Recent Articles: EURASIP Journal on Audio, Speech, and Music Processinghttps://asmp-eurasipjournals.springeropen.comMost Recent Articles: EURASIP Journal on Audio, Speech, and Music ProcessingAn end-to-end approach for blindly rendering a virtual sound source in an audio augmented reality environmenthttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00338-6Audio augmented reality (AAR), a prominent topic in the field of audio, requires understanding the listening environment of the user for rendering an authentic virtual auditory object. Reverberation time (Empirical ResearchWed, 27 Mar 2024 00:00:00 GMThttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00338-6Shivam Saini, Isaac Engel and Jürgen Peissig2024-03-27T00:00:00ZWhisper-based spoken term detection systems for search on speech ALBAYZIN evaluation challengehttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00334-wThe vast amount of information stored in audio repositories makes necessary the development of efficient and automatic methods to search on audio content. In that direction, search on speech (SoS) has received...Empirical ResearchThu, 29 Feb 2024 00:00:00 GMThttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00334-wJavier Tejedor and Doroteo T. Toledano2024-02-29T00:00:00ZSinger identification model using data augmentation and enhanced feature conversion with hybrid feature vector and machine learninghttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00336-8Analyzing songs is a problem that is being investigated to aid various operations on music access platforms. At the beginning of these problems is the identification of the person who sings the song. In this s...SoftwareMon, 26 Feb 2024 00:00:00 GMThttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00336-8Serhat Hizlisoy, Recep Sinan Arslan and Emel Çolakoğlu2024-02-26T00:00:00ZSound field reconstruction using neural processes with dynamic kernelshttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00333-xAccurately representing the sound field with high spatial resolution is crucial for immersive and interactive sound field reproduction technology. In recent studies, there has been a notable emphasis on effici...Empirical ResearchTue, 20 Feb 2024 00:00:00 GMThttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00333-xZining Liang, Wen Zhang and Thushara D. Abhayapala2024-02-20T00:00:00ZAutomatic classification of the physical surface in sound uroflowmetry using machine learning methodshttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00332-yThis work constitutes the first approach for automatically classifying the surface that the voiding flow impacts in non-invasive sound uroflowmetry tests using machine learning. Often, the voiding flow impacts...Empirical ResearchFri, 16 Feb 2024 00:00:00 GMThttps://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-024-00332-yMarcos Lazaro Alvarez, Laura Arjona, Miguel E. Iglesias Martínez and Alfonso Bahillo2024-02-16T00:00:00Z