Report about polyphonic music transcription
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Transcript of Report about polyphonic music transcription
Enabling Access to Sound Archives through Integration, Enrichment and Retrieval
Report about polyphonic music transcription
Coordinating meeting, Nice, November
Project #033902
What is Automatic Music Transcription
TranscriptionPlay/Synthesis
Coordinating meeting, Nice, November
Project #033902
Key technologies of polyphonic music transcription
Music onset detection
Polyphonic music transcription
Coordinating meeting, Nice, November
Project #033902
A particular time-frequency analysis tool: Resonator Time-frequency Image (RTFI)
Computation-efficient implemented by the first-order complex resonator filter bank development of multi-resolution fast implementation
A uniform Framework of TF analysis for music signal unlike Cohen’s class and Affine class, RTFI is not limited to
either constant-band or constant-Q by simply setting several parameters, the RTFI can implement
different TF analysis such as constant-band, constant-Q and ear-like TF analysis
a frequency-dependent time-frequency analysis
Coordinating meeting, Nice, November
Project #033902
Music Onset Detection
What is music onset detection detection of the instant when a new event begins in acoustical
signal hard Onset (fast transition with big energy change) soft Onset (slow transition with small energy change)
How human detect onset energy change pitch change timbre change
Coordinating meeting, Nice, November
Project #033902
Onset detection method in EASAIEROriginal Audio Signal
RTFI Average Energy Spectrum
Adjusted Energy Spectrum
Pitch Energy Spectrum
Smoothed Pitch Energy Spectrum
Normal Pitch Energy Specturm
Difference Pitch Energy Spectrum
Time -Frequency
Processing
Pitch Change Detection Algorithm Detection
Algorithm
Energy Change Detection
Aloghrithm Detected Onsets
Time-Frequency Processing: incorporating psychoacoustics knowledge about loudness perception making energy-change and pitch-change as clear as possible
Detection Algorithms: detecting onsets by both energy and pitch change clues
Coordinating meeting, Nice, November
Project #033902
Problems in Polyphonic Pitch Estimation
Harmonic components of different music notes may overlap
In-harmonic: some music instrument have inharmonic timbre
Coordinating meeting, Nice, November
Project #033902
Polyphonic Pitch Estimation Method in EASAIER
5 Steps:1) Performing RTFI analysis2) Extracting harmonic
components3) Making preliminary estimation
of possible pitches 4) Cancelling the extra pitches by
checking harmonic components ( simple timbre model)
5) Checking pitch candidates by spectral smoothing principle
Coordinating meeting, Nice, November
Project #033902
Compared with other state-of-art methodsMIREX 2007 Evaluation
Music onset detection According to the overall performance, our method wins this
contest
Polyphonic pitch estimation (Multiple-F0 estimation task) our method performed third best in the submitted 16 methods.
The performance differences between our method and the first and second best method are minor.
but most computationally efficient, about 10 time faster than the first best method, and 100 time faster than the second best method
Coordinating meeting, Nice, November
Project #033902
Future plan
To develop the method for note offset detection To estimate the note duration time
To improve and evaluate the automation music transcription system
To apply the transcription system assisting the other functionalities such as content-based music retrieval