<--- Back to Details
First PageDocument Content
Psychoacoustics / Scales / Musical notes / Musical tuning / Bark scale / Musical scales / Cent / Pitch / Mel scale / Semitone / Interval / Intonation
Date: 2003-03-06 15:48:50
Psychoacoustics
Scales
Musical notes
Musical tuning
Bark scale
Musical scales
Cent
Pitch
Mel scale
Semitone
Interval
Intonation

Sample Proceedings Paper: Instructions for Preparing ASCC Papers

Add to Reading List

Source URL: www.ling.cam.ac.uk

Download Document from Source Website

File Size: 208,31 KB

Share Document on Facebook

Similar Documents

Psychoacoustics / Scales / Musical notes / Musical tuning / Bark scale / Musical scales / Cent / Pitch / Mel scale / Semitone / Interval / Intonation

Sample Proceedings Paper: Instructions for Preparing ASCC Papers

DocID: 1pIfJ - View Document

Emergency medicine / Intensive care medicine / National Institutes of Health Stroke Scale / Coma / Pain stimulus / Consciousness / Altered level of consciousness

NIH Stroke Scale HE R MEL INDA G . ABCE DE , MD HS A S SISTA NT CL I N I CA L P ROF ESSOR U CI DE PA RTMENT OF N E U ROLOGY Introduction

DocID: 1lDm2 - View Document

Metacognition / Teacher / Education / Assessment Research Centre / Patrick Griffin

ALP is a large-scale project, based on principles of collaborative use of assessment data to improve student outcomes, which encompasses programs across CEOM, DEECD and Independent sectors. Catholic Education Office, Mel

DocID: 11KtN - View Document

Science / Signal processing / Human–computer interaction / Acoustic model / Fast Fourier transform / Mel scale / Mel-frequency cepstrum / Computational linguistics / Speech recognition / Cepstrum

Toward Spontaneous Speech Recognition and Understanding Sadaoki Furui Tokyo Institute of Technology Department of Computer Science[removed], O-okayama, Meguro-ku, Tokyo, [removed]Japan

DocID: XVLS - View Document

Support vector machine / Silicon Valley Microelectronics / Scale-invariant feature transform / SVM / Mel-frequency cepstrum / TRECVID / Artificial intelligence / Statistics / Computer vision / Statistical classification

TRECVID 2011 TokyoTech+Canon Multimedia Event Detection using GS-SVMs and Audio-HMMs Nakamasa Inoue, Yusuke Kamishima,

DocID: EAIx - View Document