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Knowledge Transfer from Weakly Labeled Audio Using Convolutional Neural Network for Sound Events and Scenes
TLDR
This work describes a convolutional neural network (CNN) based framework for sound event detection and classification using weakly labeled audio data and proposes methods to learn representations using this model which can be effectively used for solving the target task.
Large-Scale Cover Song Identification Using Chord Profiles
TLDR
This paper focuses on cover song identification among datasets potentially containing millions of songs based on high-level summarization of musical songs using chord profiles, which provides state-of-the-art results.
Use of Hidden Markov Models and Factored Language Models for Automatic Chord Recognition
TLDR
This paper focuses on automatic extraction of acoustic chord sequences from a musical piece by running a Viterbi decoder on trained hidden Markov models and subsequent lattice rescoring, applying the language model weight.
Time-frequency reassigned features for automatic chord recognition
TLDR
In this work a set of new chroma features that are based on the time-frequency reassignment (TFR) technique is investigated and proved to be efficient for the chord recognition task, outperforming standard chroma.
MIREX AUDIO CHORD DETECTION
TLDR
This extended abstract briefly introduces the submission to the 2008 Music Information Retrieval Evaluation eXchange in the Audio Chord Detection task, where a traditional 12-dimension PCP vector is used and Hidden Markov Models are used as the classifier.
Reassigned spectrum-based feature extraction for GMM-based automatic chord recognition
TLDR
This work investigates an alternative feature set based on time-frequency reassignment, which was applied in the past to speech processing tasks such as formant extraction, and provides a very accurate front-end for the GMM-based chord recognition system here investigated.
A probabilistic approach to simultaneous extraction of beats and downbeats
TLDR
A novel statistical approach to modeling beat sequences based on the application of Hidden Markov Models (HMM) is introduced and the resulting beat labels are obtained by running the Viterbi decoder and subsequent lattice rescoring.
PHASE-CHANGE BASED TUNING FOR AUTOMATIC CHORD RECOGNITION
TLDR
A new tuning solution is introduced, based on a method developed in the past for phase vocoder, that provides an accuracy that is comparable to the state of the art in automatic extraction of acoustic chord sequences from a piece of music.
Music signal processing for automatic extraction of harmonic and rhythmic information
TLDR
This thesis is concerned with the problem of automatic extraction of harmonic and rhythmic information from music audio signals using statistical framework and advanced signal processing methods and proposes novel probabilistic approaches that include acoustic modeling layer and language modeling layer.
IMPROVED AUTOMATIC CHORD RECOGNITION
TLDR
This paper describes a chord recognition system submitted to the MIREX 2009 Audio Chord detection contest, which consists of two chord detection system: baseline and the system with language modeling functionality.