7 accepted papers
Building ASR systems robust to foreign-accented speech is an important challenge in today's globalized world. A prior study explored the way to enhance the performance of phonetic token-based ASR on accented speech by reproducing the phenomenon known as interlanguage speech intelligibility benefit (…
In this paper, we investigate spatial self-supervised learning for target speaker speech recognition. Neural separation models can be trained in a self-supervised manner by using only multichannel mixture signals. Such a framework is typically based on a physics-informed generative model, widely stu…
We construct a corpus of Japanese a cappella vocal ensembles (ja-Cappella corpus) for vocal ensemble separation and synthesis. It consists of 35 copyright-cleared vocal ensemble songs and their audio recordings of individual voice parts. These songs were arranged from out-of-copyright Japanese child…
This paper describes neural singing transcription that estimates a sequence of musical notes directly from the audio signal of singing voice in an end-to-end manner without time-aligned training data. A conventional approach to singing transcription is to perform vocal F0 estimation followed by musi…
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…
This paper presents TransDrums, which is a system that transfers drum patterns from a drum-pattern-source song (D-song) to a base song (B-song) and synthesizes the audio with the substituted drum pattern. Typical drum parts consist of multiple drum patterns that are concatenated to form a structure…
This paper describes a novel method for estimating the emotions elicited by a piece of music from its acoustic signals. Previous research in this field has centered on finding effective acoustic features and regression methods to relate features to emotions. The state-of-the-art method is based on a…