for
this public domain (in terms of its IP) project.
Best regards.
Rohit
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Rohit Agarwal,
M.S.(ECE) UCI, B.Tech.(EE) IITK
Founder-CEO Khitchdee, Allahabad
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Intramusical focus is nested with sound space memory
Sent from my iPhone
On Dec 13, 2014, at 2:37 PM, Rohit Agarwal ro...@khitchdee.com wrote:
Hi,
I'm based in north India and the traditional formal music here is called
Hindustani. The most prized form is vocal with tabla for rhythm and tanpura
In this day and age where there is excessive information coming at us
through the widespread electronic networks that the big corporates have
installed for this purpose, there is a much greater need for out of
the box thinking on what that really means and the implications of
entropy
Peter,
How would you characterize the impact of your posts on the entropy of this
mailing list, starting with the symbol space that get's defined by the
different perspectives on entropy :-)
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Time domain sample focused algorithms likely work better for many music
apps. In 10 weeks I would expect they'll cover these. The fact they've
made a course for this niche subject is a great thing in itself, kudos to
them.
From:Theo Verelst
patern.
On Tuesday, August 26, 2014, Phil Burk philb...@mobileer.com
wrote:
On 8/26/14, 6:23 PM, Rohit Agarwal wrote: Do they come with
software
for
post-processing or are they just inputs
for recording tools?
I believe there are commercial analysis programs that can
Flat frequency response is for the scientists. The recording engineer
tries to please the musician they record, which is about sound. Mic makers
make mic response based on the sound. Mics are often characterized
by instrument. Most difficult is human voice, for that Neumann.
practices in
using them. We're trying to model the characteristics of some
Indian
instruments in some sound-scapes.
Rohit Agarwal, Khitchdee
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Do they come with software for post-processing or are they just inputs
for recording tools?
From:julian d.juli...@gmail.com
Sent:A discussion list for music-related DSP
music-dsp@music.columbia.edu
Date:Wed, August 27, 2014 6:46 am
Would like some opinions on measurement mics as also best practices in
using them. We're trying to model the characteristics of some Indian
instruments in some sound-scapes.
Rohit Agarwal, Khitchdee
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I would start with time domain correlation to detect the location of
the signal assuming its frequency is quite precise.
From:Bjorn Roche bj...@xowave.com
Sent:A discussion list for music-related DSP
music-dsp@music.columbia.edu
Date:Tue,
This question is about FAUST's architecture -- I want to build DSP to
analyze Indian music which is based on harmonic scales which is slightly
different from equal tempered. Also the instruments used and style of play
are based on some different rules than is western. Would FAUST be a good
for English phones for a start.
Rohit
From:Danijel Domazet
danijel.doma...@littleendian.com
Sent:A discussion list for music-related DSP
music-dsp@music.columbia.edu
Date:Thu, July 17, 2014 12:58 pm
Subject:[music-dsp] English as a second language
] English as a second language - measuring voice
similarity
On Thu, July 17, 2014 2:05 pm, Rohit Agarwal wrote:
You will likely compare in feature domain and that depends on the
kind
of features you use. You need some heuristics for determining how
close
a
given feature sequence
Goodwin and several
papers
by Bob Sturm and others on this.
I've also seen that some people have tried empirical mode
decomposition on
audio signals. Seems to be worthwile looking into that too.
Risto Holopainen
10 juli 2014, Rohit Agarwal ro...@khitchdee.com skrev:
If I
This does not seem much different than FFT. The windowing function is
now Gaussian. They vary window sizes to resolve time.
From:Uli Brueggemann uli.brueggem...@gmail.com
Sent:A discussion list for music-related DSP
, http://dx.doi.org/10.1016/j.sigpro.2007.01.006
There are FFT-based implementations for both, probably quite slow
still.
-olli
On Wed, Jul 9, 2014 at 3:03 PM, Rohit Agarwal
ro...@khitchdee.com wrote:
What are the alternatives to the FFT?
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9, 2014 3:03 pm, Rohit Agarwal wrote:
Most of our modern DSP techniques that we use for the analysis of
sound
signals are based on the FFT as a first step. This imposes limits
on
time
resolution since the FFT window has to be wide. For most natural
sound
apps this is no hindrance
Schmitt's Wavelet-based method, implementation
available
under an MIT license:
https://github.com/antoineschmitt/dywapitchtrack
It is optimized for voice, but I have found it generally works well
with
PNP sounds.
Jamie
On Jul 9, 2014, at 1:03 PM, Rohit Agarwal
ro...@khitchdee.com wrote
I plan to build a synth for musical voice. Looking for good prior work in this.
Our target is Indian classical vocal but work on any vocal synth should help
us. It's a back burner project, we're in no rush.
Rohit Agarwal, Khitchdee
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I think you should look at this like a tool set. Table look up is one tool that
you can use as it iterative function evaluation. What tools you use depends on
circumstances. On the PC platform you have big caches, lots of memory and real
fast CPU clocks. If you go FPGA clock rate goes down as
In terms of computational complexity, most of the complexity is in
modelling, tuning the parameters to fit data. However, once you're done
with this offline task, running the result should not be that heavy. That
process should be real-time on new CPUs. Your latency should then be just
the
] Simulating Valve Amps
On 2014-06-19, Rohit Agarwal wrote:
I'm surprised by that statement quite honestly. At a tempo of 200
bpm,
this latency would be roughly 10% of the beat interval which
seems to
me quite small.
Then you obviously don't know techno. ;)
--
Sampo Syreeni, aka
If you had measurement mics with flat response and access to a local music
studio, you should be able to scope the box also.
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If you modelled the system for all cases, that would make your task much more
complicated. It would be much simpler to model sweet spots. Perhaps fix the
guitar that sends in inputs. Narrow the range of the amps and the EQs. Even
tune to playing styles of guitarists. All these steps help
Good choice of project. A generatively programmed codebase get's more powerful
for the programmer over time. The beginning is the slower and more difficult
part. This approach to programming holds great promise.
On 14-May-2013, at 9:41 PM, Tom Schouten t...@zwizwa.be wrote:
Is there anyone
If you're serious about it then your audio quality monitoring setup should be
like a studio's control room. A classic example is using Yamaha NS10Ms as near
field monitors.
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