Live Assessment of Beat Tracking for Robot Audition

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

oliveira, jl (Autor) Outra; ince, g (Autor) Outra; nakamura, k (Autor) Outra; nakadai, k (Autor) Outra; okuno, hg (Autor) Outra; reis, lp (Autor) FEUP; gouyon, f (Autor) FEUP

Ata de Conferência Internacional

Título: 2012 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)

Páginas: 992-997

25th IEEE\RSJ International Conference on Intelligent Robots and Systems (IROS)

Algarve, PORTUGAL, OCT 07-12, 2012

Indexação

ISI Web of Knowledge - 5 Citações

Scopus - 8 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-005-42V

DOI: 10.1109/iros.2012.6386100

Abstract (EN): In this paper we propose the integration of an online audio beat tracking system into the general framework of robot audition, to enable its application in musically-interactive robotic scenarios. To this purpose, we introduced a state-recovery mechanism into our beat tracking algorithm, for handling continuous musical stimuli, and applied different multi-channel preprocessing algorithms (e. g., beamforming, ego noise suppression) to enhance noisy auditory signals lively captured in a real environment. We assessed and compared the robustness of our audio beat tracker through a set of experimental setups, under different live acoustic conditions of incremental complexity. These included the presence of continuous musical stimuli, built of a set of concatenated musical pieces; the presence of noises of different natures (e. g., robot motion, speech); and the simultaneous processing of different audio sources on-the-fly, for music and speech. We successfully tackled all these challenging acoustic conditions and improved the beat tracking accuracy and reaction time to music transitions while simultaneously achieving robust automatic speech recognition.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6