Nothing Special   »   [go: up one dir, main page]

Milner et al., 2013 - Google Patents

Music retrieval by singing and humming using information fusion

Milner et al., 2013

Document ID
5712430740503779797
Author
Milner J
Hsu D
Publication year
Publication venue
2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing

External Links

Snippet

We present that combinatorial fusion analysis (CFA) can improve results in a music information retrieval (MIR) task, specifically querying a database of recorded music by singing, humming, or whistling. Our experiment considers 10 scoring systems, 55 queries …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3074Audio data retrieval
    • G06F17/30755Query formulation specially adapted for audio data retrieval
    • G06F17/30758Query by example, e.g. query by humming
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3074Audio data retrieval
    • G06F17/30749Audio data retrieval using information manually generated or using information not derived from the audio data, e.g. title and artist information, time and location information, usage information, user ratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3074Audio data retrieval
    • G06F17/30769Presentation of query results
    • G06F17/30772Presentation of query results making use of playlists
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3074Audio data retrieval
    • G06F17/30743Audio data retrieval using features automatically derived from the audio content, e.g. descriptors, fingerprints, signatures, MEP-cepstral coefficients, musical score, tempo
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10HELECTROPHONIC MUSICAL INSTRUMENTS
    • G10H2210/00Aspects or methods of musical processing having intrinsic musical character, i.e. involving musical theory or musical parameters or relying on musical knowledge, as applied in electrophonic musical tools or instruments
    • G10H2210/031Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30017Multimedia data retrieval; Retrieval of more than one type of audiovisual media
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10HELECTROPHONIC MUSICAL INSTRUMENTS
    • G10H2240/00Data organisation or data communication aspects, specifically adapted for electrophonic musical tools or instruments
    • G10H2240/121Musical libraries, i.e. musical databases indexed by musical parameters, wavetables, indexing schemes using musical parameters, musical rule bases or knowledge bases, e.g. for automatic composing methods
    • G10H2240/131Library retrieval, i.e. searching a database or selecting a specific musical piece, segment, pattern, rule or parameter set
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10HELECTROPHONIC MUSICAL INSTRUMENTS
    • G10H1/00Details of electrophonic musical instruments
    • G10H1/0008Associated control or indicating means
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10HELECTROPHONIC MUSICAL INSTRUMENTS
    • G10H2240/00Data organisation or data communication aspects, specifically adapted for electrophonic musical tools or instruments
    • G10H2240/075Musical metadata derived from musical analysis or for use in electrophonic musical instruments
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10HELECTROPHONIC MUSICAL INSTRUMENTS
    • G10H1/00Details of electrophonic musical instruments
    • G10H1/0033Recording/reproducing or transmission of music for electrophonic musical instruments
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification

Similar Documents

Publication Publication Date Title
Casey et al. Content-based music information retrieval: Current directions and future challenges
Panda et al. Multi-modal music emotion recognition: A new dataset, methodology and comparative analysis
EP2659485B1 (en) Semantic audio track mixer
De Man et al. A knowledge-engineered autonomous mixing system
Hargreaves et al. Structural segmentation of multitrack audio
GB0320578D0 (en) Processing an audio signal
Knees et al. Introduction to music similarity and retrieval
Humphrey et al. A brief review of creative MIR
Grekow Audio features dedicated to the detection and tracking of arousal and valence in musical compositions
Singhi et al. On Cultural, Textual and Experiential Aspects of Music Mood.
Lefford et al. Context aware intelligent mixing systems
Bogdanov et al. From low-level to high-level: Comparative study of music similarity measures
Plewa et al. A study on correlation between tempo and mood of music
Tzanetakis et al. Stereo panning information for music information retrieval tasks
Van De Laar Emotion detection in music, a survey
Dressler Automatic transcription of the melody from polyphonic music
Milner et al. Music retrieval by singing and humming using information fusion
Wilmering et al. Grateful live: Mixing multiple recordings of a dead performance into an immersive experience
Zhu et al. Perceptual visualization of a music collection
Tsai et al. Automatic Singing Performance Evaluation Using Accompanied Vocals as Reference Bases.
Musil et al. Perceptual dimensions of short audio clips and corresponding timbre features
Moffat et al. Semantic music production: A meta-study
Müller et al. Data-driven sound track generation
Werthen-Brabants Ground truth extraction & transition analysis of DJ mixes
Sofianos et al. H-Semantics: A hybrid approach to singing voice separation