SUMÁRIO 1 INTRODUÇÃO
4 RESULTADOS E DISCUSSÃO
5.2 TRABALHOS FUTUROS
Os resultados obtidos para 50 e 80 bins de frequências mostram que vale a pena investigar mais opções para essas quantidades. Também, nada impede de se tentar uma fusão de ODFs oriundas de espectrogramas com 30 bins com ODFs oriundas de espectrogramas com outras quantidades de bins de frequências. Com isso, se obtém ainda mais heterogeneidade, e há potencial para ganhos de desempenho. Outros tipos de escalas podem ser experimentados no eixo y do espectrograma, tal como a escala Bark ou, até mesmo, um híbrido entre ela e a escala Mel. Seguindo com a experimentação no eixo y, também podem ser criadas novas faixas para o filtro de frequências, principalmente se a quantidade de bins de frequências for aumentada. Desse modo, o parâmetro terá mais alternativas a serem exploradas, inclusive para estudar parâmetros para classes ou tipos de instrumentos diferentes. A submissão à MIREX mostrou que é importante acrescentar mais corpo à base de dados, adicionando mais tipos de trilhas de áudio e mais onsets dentro de cada tipo. Os caminhos para isso são, do mais simples para o mais difícil: obter mais bases com outros autores de trabalhos no mesmo tema, obter mais bases de dados públicas e trabalhar nelas para corrigir as anotações e criar novas bases inteiramente do zero. Dessa forma, podem-se ajustar mais genericamente as configurações, que de outra forma, ficam muito condicionadas em determinados tipos de trilhas sonoras.
Finalmente, é importante submeter o algoritmo novamente na MIREX, contemplando quaisquer modificações que forem realizadas no algoritmo, para validar se elas estão caminhando positivamente ou não. O baixo desempenho em trilhas cantadas e em outras classes de trilhas sonoras mostra que ainda há espaço para mais análises e melhorias na modelagem do algoritmo KFlux.
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