| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560749 |
| ISSN: | 1405-5546 |
| Autores: | Velázquez López, Omar1 Oropeza Rodríguez, José Luis1 Suárez Guerra, Sergio1 |
| Instituciones: | 1Instituto Politécnico Nacional, Centro de Investigación en Computación, Ciudad de México. México |
| Año: | 2022 |
| Periodo: | Oct-Dic |
| Volumen: | 26 |
| Número: | 4 |
| Paginación: | 1421-1428 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Resumen en inglés | In this paper we present a frame-level transcription system for polyphonic piano music by using nonnegative matrix factorization (NMF) technique based on Fourier spectrogram as the representation of the musical signal and enhanced by application of an auditory filter-bank based on a new cochlear frequency-position equation, which was developed solving a biomechanical cochlea model without the need of physiological or psychoacoustic experiments. It is important to mention that in our days in music transcription task, a set of auditory bank filters have been used and this paper is focused precisely in this search field. Evaluation using a set of polyphonic piano pieces is performed against the system itself when it does not use filtered spectrograms and also against another system in the state-of-the-art, in both cases it is showed that the proposed method in this paper achieves an increment in precision measure. |
| Disciplinas: | Ciencias de la computación, Ciencias de la computación |
| Palabras clave: | Procesamiento de datos, Inteligencia artificial |
| Keyword: | Data processing, Artificial intelligence |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
