'Pitch tracking' presentation slideshows

Pitch Tracking ( ???? )

Pitch Tracking ( ???? ). Jyh-Shing Roger Jang ( ??? ) MIR Lab, Dept of CSIE National Taiwan University jang@mirlab.org http://mirlab.org/jang. Pitch ( ?? ?. Definition of pitch Fundamental frequency (FF, in Hz): Reciprocal of the fundamental period in a quasi-periodic waveform

991 views • 56 slides

A Hidden Markov Model Framework for Multi-target Tracking

A Hidden Markov Model Framework for Multi-target Tracking. DeLiang Wang Perception & Neurodynamics Lab Ohio State University. Outline. Problem statement Multipitch tracking in noisy speech Multipitch tracking in reverberant environments Binaural tracking of moving sound sources

735 views • 52 slides

A Hidden Markov Model Framework for Multi-target Tracking

A Hidden Markov Model Framework for Multi-target Tracking. DeLiang Wang Perception & Neurodynamics Lab Ohio State University. Outline. Problem statement Multipitch tracking in noisy speech Multipitch tracking in reverberant environments Binaural tracking of moving sound sources

524 views • 52 slides

Pitch Tracking + Prosody

640 views • 44 slides

Automatic Pitch Tracking

518 views • 34 slides

Content-based Music Retrieval from Acoustic Input (CBMR)

Content-based Music Retrieval from Acoustic Input (CBMR). Outline. What is CBMR? Methods Signal processing Similarity comparison Experiment results Demo Future work. What is CBMR?. CBMR : Content-based Music Retrieval Traditional database query : Text-based or SQL-based

448 views • 33 slides

An Overview of Pitch Detection Algorithms

An Overview of Pitch Detection Algorithms. Alexandre Savard MUMT611: Music Information Acquisition, Preservation, and Retrieval February 2006. Content. Introduction Classification Applications Problems and Constraints Time Domain Algorithms Frequency Domain Algorithms

583 views • 32 slides

Automatic Pitch Tracking

455 views • 32 slides

Pitch Tracking ( ???? )

Pitch Tracking ( ???? ). Jyh-Shing Roger Jang ( ??? ) MIR Lab ( ?????????? ) CS, NTHU ( ???? ????? ) jang@mirlab.org , http://mirlab.org/jang. Pitch ( ?? ?. Definition of pitch Fundamental frequency (FF, in Hz): Reciprocal of the fundamental period in a quasi-periodic waveform

625 views • 30 slides

Pitch Tracking in Time Domain

Pitch Tracking in Time Domain. Jyh-Shing Roger Jang ( ??? ) MIR Lab, Dept of CSIE National Taiwan University jang@mirlab.org http://mirlab.org/jang. Audio Features in Time Domain. Audio features presented in the time domain. Fundamental period. Intensity. Timbre: Waveform within an FP.

288 views • 28 slides

Overview of Real-Time Pitch Tracking Approaches

Overview of Real-Time Pitch Tracking Approaches. Music information retrieval seminar McGill University Francois Thibault. Presentation Goals. Describe the requirements of RT pitch tracking algorithm for musical applications Briefly introduce key developments in RT pitch tracking algorithms

399 views • 22 slides

A Spectral-Temporal Method for Pitch Tracking

A Spectral-Temporal Method for Pitch Tracking. Stephen A. Zahorian*, Princy Dikshit, Hongbing Hu* Department of Electrical and Computer Engineering Old Dominion University, Norfolk, VA 23529, USA. * Currently at Binghamton University 09/17/2006. Outline. Introduction Algorithm

305 views • 18 slides

A Spectral-Temporal Method for Pitch Tracking

A Spectral-Temporal Method for Pitch Tracking. Stephen A. Zahorian*, Princy Dikshit, Hongbing Hu* Department of Electrical and Computer Engineering Old Dominion University, Norfolk, VA 23529, USA. * Currently at Binghamton University 09/17/2006. Outline. Introduction Algorithm

279 views • 18 slides

Pre and Post-Processing for Pitch Tracking

Pre and Post-Processing for Pitch Tracking. Jyh-Shing Roger Jang ( ??? ) MIR Lab, Dept of CSIE National Taiwan University jang@mirlab.org http://mirlab.org/jang. Preprocessing for Pitch Tracking. Some commonly used preprocessing for the audio signals before pitch tracking

166 views • 15 slides

Refinement in FTLP-HNM system for Speech Enhancement

Refinement in FTLP-HNM system for Speech Enhancement. Qin Yan Communication & Multimedia Signal Processing Group School of Engineering and Design, Brunel University 23 Nov, 2005. Review of FTLP-HNM system; Parameters estimation of HNM (incl. pitch/harmonic tracking in noise)

268 views • 14 slides