91   Artículos

 
en línea
Urszula Libal and Pawel Biernacki    
An automatic honey bee classification system based on audio signals for tracking the frequency of workers and drones entering and leaving a hive.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Peranut Nimitsurachat and Peter Washington    
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m... ver más
Revista: AI    Formato: Electrónico

 
en línea
Jonathan Miquel, Laurent Latorre and Simon Chamaillé-Jammes    
Biologging refers to the use of animal-borne recording devices to study wildlife behavior. In the case of audio recording, such devices generate large amounts of data over several months, and thus require some level of processing automation for the raw d... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Zakiya Azizah Cahyaningtyas, Diana Purwitasari, Chastine Fatichah     Pág. 21 - 34
Drum transcription is the task of transcribing audio or music into drum notation. Drum notation is helpful to help drummers as instruction in playing drums and could also be useful for students to learn about drum music theories. Unfortunately, transcrib... ver más
Revista: Emitter: International Journal of Engineering Technology    Formato: Electrónico

 
en línea
Fan Liu and Jiandong Fang    
Classroom interactivity is one of the important metrics for assessing classrooms, and identifying classroom interactivity through classroom image data is limited by the interference of complex teaching scenarios. However, audio data within the classroom ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Sangwon Lee, Hyemi Kim and Gil-Jin Jang    
Audio classification; music information retrieval; audio scene characterization; temporal localization of sound sources; audio indexing; audio surveillance systems; anomaly detection from audio sounds.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Walaa H. Elashmawi, John Emad, Ahmed Serag, Karim Khaled, Ahmed Yehia, Karim Mohamed, Hager Sobeah and Ahmed Ali    
New guitarists face multiple problems when first starting out, and these mainly stem from a flood of information that they are presented with. Students also typically struggle with proper pitch frequency recognition and accurate left-hand motion. A varie... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fahad M. Alotaibi    
Machine learning frameworks categorizing customer reviews on online products have significantly improved sales and product quality for major manufacturers. Manually scrutinizing extensive customer reviews is imprecise and time-consuming. Current product ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Dana Utebayeva, Lyazzat Ilipbayeva and Eric T. Matson    
The detection and classification of engine-based moving objects in restricted scenes from acoustic signals allow better Unmanned Aerial System (UAS)-specific intelligent systems and audio-based surveillance systems. Recurrent Neural Networks (RNNs) provi... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Theodoros Psallidas and Evaggelos Spyrou    
During the last few years, several technological advances have led to an increase in the creation and consumption of audiovisual multimedia content. Users are overexposed to videos via several social media or video sharing websites and mobile phone appli... ver más
Revista: Computers    Formato: Electrónico

« Anterior     Página: 1 de 6     Siguiente »