Summary. Recognition and separation of sounds played by various instruments is very useful in labeling audio files with semantic information.

In this chapter, we describe all stages of this process, including sound parameterization, instrument identification, and also separation of layered sounds.

The experiments on polyphonic (polytimbral) recordings and results discussed in this chapter allow us to draw conclusions regarding the directions of ...

Nov 21, 2024 · In this chapter, we describe all stages of this process, including sound parameterization, instrument identification, and also separation of ...

In this paper, we pro- pose a framework for the sound source separation and tim- bre classification of polyphonic, multi-instrumental music signals. The sound ...

In case of polyphonic sounds, sound separation can be applied to extract the signal which is identified as one specific instrument at timbre estimation process.

This is achieved by first mapping the short term frequency spectrum of consecutive audio frames to the musical space (The Spiral Array) and defining a tonal ...

To our knowledge any approach to the problem of pitch estimation can be categorized into one of two general categories: short-time frame based, or spectrogram ...

We will introduce the multi-labeled classification system to estimate multiple timbre information from the polyphonic sound by classification based on acoustic ...

Highlights of the system include music segmentation into notes, harmonic partial estimation in polyphonic sound, note feature calculation and normalization, ...