Resources and papers on Audio, Music and Speech - Revision history

Ogg.k.ogg.k: Undo revision 10972 by Shibo (Talk)

2010-04-09T12:30:24Z

Undo revision 10972 by Shibo (Talk)

← Older revision		Revision as of 12:30, 9 April 2010
Line 21:		Line 21:
	image restoration, z-transform, FIR filters, adaptive filters,		image restoration, z-transform, FIR filters, adaptive filters,
	wavelets, and filterbanks.		wavelets, and filterbanks.
-
-	~~[http://videos-phone.net/ Video to Phone]<br/>~~
-	You can find all kinds of most popular phone in this site, for example:iPhone,BlackBerry,Gphone,Motorola,Nokia,Samsung,etc, It also provides video to iPhone, video to BlackBerry, video to 3GP, video to Gphone, video to Motorola, video to Nokia, video to Samsung, etc, I believe that you will find what you like! and it gives your life more fun, Good luck to you !

	[http://cnx.org/content/col10252/latest/ Methods for Voice Conversion]<br/>		[http://cnx.org/content/col10252/latest/ Methods for Voice Conversion]<br/>

Shibo at 06:15, 9 April 2010

2010-04-09T06:15:17Z

← Older revision		Revision as of 06:15, 9 April 2010
Line 21:		Line 21:
	image restoration, z-transform, FIR filters, adaptive filters,		image restoration, z-transform, FIR filters, adaptive filters,
	wavelets, and filterbanks.		wavelets, and filterbanks.
		+
		+	[http://videos-phone.net/ Video to Phone]<br/>
		+	You can find all kinds of most popular phone in this site, for example:iPhone,BlackBerry,Gphone,Motorola,Nokia,Samsung,etc, It also provides video to iPhone, video to BlackBerry, video to 3GP, video to Gphone, video to Motorola, video to Nokia, video to Samsung, etc, I believe that you will find what you like! and it gives your life more fun, Good luck to you !

	[http://cnx.org/content/col10252/latest/ Methods for Voice Conversion]<br/>		[http://cnx.org/content/col10252/latest/ Methods for Voice Conversion]<br/>

Saoshyant at 23:30, 15 February 2008

2008-02-15T23:30:29Z

← Older revision		Revision as of 23:30, 15 February 2008
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	instruments by analyzing the waveform and spectra of each instrument.		instruments by analyzing the waveform and spectra of each instrument.
	Elec 301 Project Fall 2005.		Elec 301 Project Fall 2005.
		+
		+	[[Category:Developers stuff]]

Saoshyant: wiki formatting

2006-11-13T11:53:59Z

wiki formatting

Saoshyant: per vorbis-dev request

2006-11-13T11:53:07Z

per vorbis-dev request

New page

[http://cnx.org/content/col10338/latest/ Frequency and Music]
An overview of frequency, harmonic (Fourier) series, and their
relationship to music.

[http://cnx.org/content/col10250/latest/ Audio Localization]
This course has been created as an introduction to audio localization,
and how beamforming can be applied in a real-time environment.

[http://cnx.org/content/col10303/latest/ Fundamentals of Digital Signal Processing Lab]
The purpose of this lab is to familiarize students with the DSP
development workstation in the signal processing lab by examining
sampling, analysis, and reconstruction of continuous-time signals.
Specifically, we will first look at sampling/reconstruction of
continuous-time signals. We will then examine time- and
frequency-domain displays. Finally, we will examine the importance of
sampling frequency and its effects on aliasing.

[http://cnx.org/content/col10203/latest/ Intro to Digital Signal Processing]
The course provides an introduction to the concepts of digital signal
processing (DSP). Some of the main topics covered include DSP systems,
image restoration, z-transform, FIR filters, adaptive filters,
wavelets, and filterbanks.

[http://cnx.org/content/col10252/latest/ Methods for Voice Conversion]
This course explores methods in signal processing to perform voice
conversion: producing the words from one speaker in the voice of
another. This is the Elec 301 project of Justin Chen, Matthew
Hutchinson, Gina Upperman, and Brian VanOsdol.

[http://cnx.org/content/col10313/latest/ Musical Instrument Recognition]
To detect the pitch and instrument of a monophonic signal. To
decompose polyphonic signals into their component pitches and
instruments by analyzing the waveform and spectra of each instrument.
Elec 301 Project Fall 2005.

← Older revision		Revision as of 11:53, 13 November 2006
Line 1:		Line 1:
-	[http://cnx.org/content/col10338/latest/ Frequency and Music]	+	[http://cnx.org/content/col10338/latest/ Frequency and Music]<br/>
	An overview of frequency, harmonic (Fourier) series, and their		An overview of frequency, harmonic (Fourier) series, and their
	relationship to music.		relationship to music.

-	[http://cnx.org/content/col10250/latest/ Audio Localization]	+	[http://cnx.org/content/col10250/latest/ Audio Localization]<br/>
	This course has been created as an introduction to audio localization,		This course has been created as an introduction to audio localization,
	and how beamforming can be applied in a real-time environment.		and how beamforming can be applied in a real-time environment.

-	[http://cnx.org/content/col10303/latest/ Fundamentals of Digital Signal Processing Lab]	+	[http://cnx.org/content/col10303/latest/ Fundamentals of Digital Signal Processing Lab]<br/>
	The purpose of this lab is to familiarize students with the DSP		The purpose of this lab is to familiarize students with the DSP
	development workstation in the signal processing lab by examining		development workstation in the signal processing lab by examining
Line 16:		Line 16:
	sampling frequency and its effects on aliasing.		sampling frequency and its effects on aliasing.

-	[http://cnx.org/content/col10203/latest/ Intro to Digital Signal Processing]	+	[http://cnx.org/content/col10203/latest/ Intro to Digital Signal Processing]<br/>
	The course provides an introduction to the concepts of digital signal		The course provides an introduction to the concepts of digital signal
	processing (DSP). Some of the main topics covered include DSP systems,		processing (DSP). Some of the main topics covered include DSP systems,
Line 22:		Line 22:
	wavelets, and filterbanks.		wavelets, and filterbanks.

-	[http://cnx.org/content/col10252/latest/ Methods for Voice Conversion]	+	[http://cnx.org/content/col10252/latest/ Methods for Voice Conversion]<br/>
	This course explores methods in signal processing to perform voice		This course explores methods in signal processing to perform voice
	conversion: producing the words from one speaker in the voice of		conversion: producing the words from one speaker in the voice of
Line 28:		Line 28:
	Hutchinson, Gina Upperman, and Brian VanOsdol.		Hutchinson, Gina Upperman, and Brian VanOsdol.

-	[http://cnx.org/content/col10313/latest/ Musical Instrument Recognition]	+	[http://cnx.org/content/col10313/latest/ Musical Instrument Recognition]<br/>
	To detect the pitch and instrument of a monophonic signal. To		To detect the pitch and instrument of a monophonic signal. To
	decompose polyphonic signals into their component pitches and		decompose polyphonic signals into their component pitches and
	instruments by analyzing the waveform and spectra of each instrument.		instruments by analyzing the waveform and spectra of each instrument.
	Elec 301 Project Fall 2005.		Elec 301 Project Fall 2005.