Multimodal audio-image music transcription has been recently posed as a means of retrieving a digital score representation by leveraging the individual estimations from Automatic Music Transcription (AMT)---acoustic recordings---and Optical Music ...

Automatic lyric transcription (ALT) refers to transcribing singing voices into lyrics, while automatic music transcription (AMT) refers to transcribing singing voices into note events, i.e., musical MIDI notes. Despite these two tasks having significant ...

Since the 20th century, synthesizers and MIDI keyboards offer composers more convenient operation and a higher creative ceiling. However, traditional Chinese plucked instruments like the Pipa have only just begun to explore the realms of electronic music ...

Automatic music transcription (AMT) is one of the most challenging tasks in the music information retrieval domain. It is the process of converting an audio recording of music into a symbolic representation containing information about the notes, ...

Automatic Music Transcription (AMT) is the process of extracting information from audio into some form of music notation. This challenging task requires significant prior knowledge and understanding of music language. In this paper, we examine ...

Most of the current supervised automatic music transcription (AMT) models lack the ability to generalize. This means that they have trouble transcribing real-world music recordings from diverse musical genres that are not presented in the labelled ...

We present a supervised neural network model for polyphonic piano music transcription. The architecture of the proposed model is analogous to speech recognition systems and comprises an acoustic model and a music language model. The acoustic model is a ...

Automatic note-level transcription is considered one of the most challenging tasks in music information retrieval. The specific case of flamenco singing transcription poses a particular challenge due to its complex melodic progressions, intonation ...

Automatic music transcription (AMT) can be performed by deriving a pitch-time representation through decomposition of a spectrogram with a dictionary of pitch-labelled atoms. Typically, non-negative matrix factorisation (NMF) methods are used to ...

Due to the difficulty of creating pitch-labeled training data that cover the rich diversity found in music signals, unsupervised feature-based approaches derived from signal processing and feature design remain critical for multipitch estimation (MPE) ...

Source transcription of pitched polyphonic music entails providing the pitch (F0) values corresponding to each source in a separate channel. This problem is an important step towards many important problems in music and speech processing. It involves 1) ...

Despite early success in automatic chord recognition, recent efforts are yielding diminishing returns while basically iterating over the same fundamental approach. Here, we abandon typical conventions and adopt a different perspective of the problem, ...

The main problem behind Automatic Transcription (Multiple Fundamental Frequency - F0 - Estimation) relies on its complexity. Harmonic collision and partial overlapping create a frequency lattice that is almost impossible to deconstruct. Although ...

In this paper, we present a method for the automatic transcription of polyphonic piano music. The input to this method consists in piano music recordings stored in WAV files, while the pitch of all the notes in the corresponding score forms the output. ...

At the Fraunhofer Institute for Digital Media Technology (IDMT) in Ilmenau, Germany, two current research projects are directed towards core problems of Music Information Retrieval. The Songs2See project is supported by the Thuringian Ministry of ...

Harmonic decompositions are a powerful tool dealing with polyphonic music signals in some potential applications such as music visualization, music transcription and instrument recognition. The usefulness of a harmonic decomposition relies on the design ...

This paper describes a musical instrument identification method that takes into consideration the pitch dependency of timbres of musical instruments. The difficulty in musical instrument identification resides in the pitch dependency of musical ...