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Transcription of the singing melody in polyphonic music

by Matti Ryynänen, Anssi Klapuri - in Proc. 7th International Conference on Music Information Retrieval , 2006
"... We introduce a method for the MIREX 2006 “Audio Melody Extraction ” task in which the goal is to estimate fundamental frequency (F0) trajectory of the main melody within polyphonic music. The introduced method is based on multiple-F0 estimation followed by acoustic and musicological modeling. The ac ..."
Abstract - Cited by 23 (5 self) - Add to MetaCart
details are published in ISMIR 2006 proceedings. As an extension to this method, we use a simple F0 estimate selection to produce the required F0 trajectory for the task evaluation. Although the method was developed for the automatic transcription of singing melodies in polyphonic music, it is also

Continuous Speech Recognition by Statistical Methods

by Frederick Jelinek - Proceedings of the IEEE 64 , 1976
"... HIS PAPER DESCRIBES statistical methods of auto-matic recognition (transcription) of continuous speech that have been used successfully by the Speech Process-ing Group at the IBM Thomas J. Watson Research Center. The ..."
Abstract - Cited by 249 (1 self) - Add to MetaCart
HIS PAPER DESCRIBES statistical methods of auto-matic recognition (transcription) of continuous speech that have been used successfully by the Speech Process-ing Group at the IBM Thomas J. Watson Research Center. The

ACCOMPANIMENT SEPARATION AND KARAOKE APPLICATION BASED ON AUTOMATIC MELODY TRANSCRIPTION

by Matti Ryynänen, Tuomas Virtanen, Jouni Paulus, Anssi Klapuri
"... We propose a method for separating accompaniment from polyphonic music and its karaoke application, both based on automatic melody transcription. First, the method transcribes the lead-vocal melody of an existing polyphonic music piece, where the transcription consists of a MIDI note sequence and a ..."
Abstract - Cited by 14 (0 self) - Add to MetaCart
We propose a method for separating accompaniment from polyphonic music and its karaoke application, both based on automatic melody transcription. First, the method transcribes the lead-vocal melody of an existing polyphonic music piece, where the transcription consists of a MIDI note sequence and a

Query by Humming of MIDI and Audio Using Locality Sensitive Hashing

by Matti Ryynänen, Anssi Klapuri - Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing. Available online at www.cs.tut.fi/∼mryynane/ryynanen icassp08 , 2008
"... This paper proposes a query by humming method based on locality sensitive hashing (LSH). The method constructs an index of melodic fragments by extracting pitch vectors from a database of melodies. In retrieval, the method automatically transcribes a sung query into notes and then extracts pitch vec ..."
Abstract - Cited by 16 (2 self) - Add to MetaCart
and returned to the user. In our experiments, the method achieved mean reciprocal rank of 0.885 for 2797 queries when searching from a database of 6030 MIDI melodies. To retrieve audio signals, we apply an automatic melody transcription method to construct the melody database directly from music recordings

Automatic Transcription

by Matti P. Ryynänen, Anssi P. Klapuri, Of Melody, Bass Line
"... This article proposes a method for the automatic transcription of the melody, bass line, and chords in polyphonic pop music. The method uses a frame-wise pitch-salience estimator as a feature extraction front-end. For the melody and bass-line transcription, this is followed by acoustic modeling of n ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
This article proposes a method for the automatic transcription of the melody, bass line, and chords in polyphonic pop music. The method uses a frame-wise pitch-salience estimator as a feature extraction front-end. For the melody and bass-line transcription, this is followed by acoustic modeling

A Probabilistic Model for the Transcription of Single-Voice Melodies

by Timo Viitaniemi, Anssi Klapuri, Antti Eronen - Tampere University of Technology , 2003
"... A method is proposed for the automatic transcription of single-voice melodies from an acoustic waveform into a symbolic musical notation (a MIDI file). The system consists of a signal processing front-end which calculates a continuous pitch track and of a probabilistic model which converts the pitch ..."
Abstract - Cited by 22 (4 self) - Add to MetaCart
A method is proposed for the automatic transcription of single-voice melodies from an acoustic waveform into a symbolic musical notation (a MIDI file). The system consists of a signal processing front-end which calculates a continuous pitch track and of a probabilistic model which converts

Classification-based melody transcription

by Daniel P. W. Ellis, Graham E. Poliner - Machine Learning Journal , 2006
"... The melody of a musical piece – informally, the part you would hum along with – is a useful and compact summary of a full audio recording. The extraction of melodic content has practical applications ranging from content-based audio retrieval to the analysis of musical structure. Whereas previous sy ..."
Abstract - Cited by 25 (5 self) - Add to MetaCart
systems generate transcriptions based on a model of the harmonic (or periodic) structure of musical pitches, we present a classification-based system for performing automatic melody transcription that makes no assumptions beyond what is learned from its training data. We evaluate the success of our

Probabilistic Modelling of Note Events in the Transcription of Monophonic Melodies

by Matti Ryynänen , 2004
"... This thesis concerns the problem of automatic transcription of music and proposes a method for transcribing monophonic melodies. Recently, computational music content analysis has received considerable attention among researchers due to the rapid growth of music databases. In this area of research, ..."
Abstract - Cited by 11 (2 self) - Add to MetaCart
This thesis concerns the problem of automatic transcription of music and proposes a method for transcribing monophonic melodies. Recently, computational music content analysis has received considerable attention among researchers due to the rapid growth of music databases. In this area of research

Melody Transcription for Interactive Applications

by Rodger J. Mcnab, Lloyd A. Smith - Department of Computer Science University of Waikato , 1996
"... A melody transcription system has been developed to support interactive music applications. The system accepts monophonic voice input ranging from F2 (87 Hz) to G5 (784 Hz) and tracks the frequency, displaying the result in common music notation. Notes are segmented using adaptive thresholds operati ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
A melody transcription system has been developed to support interactive music applications. The system accepts monophonic voice input ranging from F2 (87 Hz) to G5 (784 Hz) and tracks the frequency, displaying the result in common music notation. Notes are segmented using adaptive thresholds

Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency

by unknown authors
"... We present Tony, a software tool for the interactive an-notation of melodies from monophonic audio recordings, and evaluate its usability and the accuracy of its note ex-traction method. The scientific study of acoustic perfor-mances of melodies, whether sung or played, requires the accurate transcr ..."
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transcription of notes and pitches. To achieve the desired transcription accuracy for a particular applica-tion, researchers manually correct results obtained by au-tomatic methods. Tony is an interactive tool directly aimed at making this correction task efficient. It provides (a) state-of-the art algorithms
Results 1 - 10 of 722