Hi Danijel,
I'm not sure I understand this whole system. I assume
you want to build a software app that listens to speakers and analyzes
characteristics of their voice to determine if their spoken sound quality
is like natives. If this is what you're building, you will need a
classifier for
On 16-Jul-14 15:29, Olli Niemitalo wrote:
Not sure if this is related, but there appears to be something called
chromatic derivatives:
http://www.cse.unsw.edu.au/~ignjat/diff/
Seems pretty much related and going further in the same direction
(alright, I just briefly glanced at chromatic
Searching for the phrase non-native speaker identification gives
pointers to key resources. See the references section of:
http://en.wikipedia.org/wiki/Non-native_speech_database
It seems like what you need is a machine learning algorithm that
compares the subjects speech with records on a
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 is to a reference feature sequence pegged as
native. You would use these
I think you would analyze in feature space, where the features are
intermediates in the speech recognizer that you got off the shelf, what
are the patterns that you associate with the speech of a small class
of native speakers. This would be one way to define
native-ness. Then you would
On 7/16/14 2:05 PM, Theo Verelst wrote:
robert bristow-johnson wrote:
...
{ x x - x0 -4b/(1-r)
{
f(x) = { x - b*(1 + (1-r)/(4b)*(x-x0))^2|x - x0| 4b/(1-r)
{
{ x0 + r*(x-x0)
Thanks for all the input, everyone. Just to follow up on the original
question. In the end the compressor built into SoX satisfied my needs for
scripted processing of audio signals. In particular, it was able to handle
really fast attack times and remain surprisingly transparent.
On Thu, Jul 17,
Sinc interpolation would be theoretically correct, but, remember,
that this thread is not about strictily theoretically correct frequency
recognition, but rather about some more intuitive version with the
concept of instant frequency.
What is instant frequency? I have to say that I find this
This post explains the concept instantaneous frequency well: (It is basically
used to distinguish amplitude from phase)
http://math.stackexchange.com/questions/85388/does-the-phrase-instantaneous-frequency-make-sense
EZ
On Jul 17, 2014, at 6:40 PM, Ethan Duni ethan.d...@gmail.com wrote:
Sinc
I guess my point is that I'm struggling to think of an application where
such strong prior knowledge exists, and where we'd still need to estimate
frequencies from data.
One such application would be a CV to controls(Midi,OSC,whatever) converter. As
virtually all the soundcard inputs are AC
10 matches
Mail list logo
