4 accepted papers
Disfluency detection has mainly been solved in a pipeline approach, as post-processing of speech recognition. In this study, we propose Transformer-based encoder-decoder models that jointly solve speech recognition and disfluency detection, which work in a streaming manner. Compared to pipeline appr…
This paper describes a statistical method of automatic drum transcription that estimates a musical score of bass and snare drums and hi-hats from a drum signal separated from a popular music signal. One of the most effective approaches for this problem is to apply nonnegative matrix factor deconvolu…
This paper describes a statistical method for estimating musical scores for lead, bass, and rhythm guitars from polyphonic audio signals of typical band-style music. To perform multi-instrument transcription involving multi-pitch detection and part assignment, it is crucial to formulate a musical la…
We study a method for converting the music style of a given melody to a target style (e.g. from classical music style to pop music style) based on unsupervised statistical learning. Following the analogy with machine translation, we propose a statistical formulation of style conversion based on inte…