Hello all, I am begginer in this area and I am trying to characterize applause in the song... I am using matlab to do the first version of the application. I saw a solution using getetic algorithm, but I didn�t like it. Could someone help me, please, with the choice of the ideal feature? []'s, Maria.
Characterize Applause in the song...
Started by ●August 3, 2009
Reply by ●August 4, 20092009-08-04
Reply by ●August 4, 20092009-08-04
Maria Isabel wrote:> nobody?You did not reveal the sufficient amount of knowledge for the discussion to be interesting and meaningful. VLV
Reply by ●August 4, 20092009-08-04
Vladimir Vassilevsky wrote:> > > Maria Isabel wrote: > >> nobody? > > You did not reveal the sufficient amount of knowledge for the discussion > to be interesting and meaningful.Let me expand on Vladimir's observation. You want to characterize applause as contrasted to music. That is not about signal processing, but from what you wrote, about characterization. Matlab implements algorithms. Without knowing what characteristic you want isolate, what algorithm would you implement? How would you use Matlab to distinguish wet from dry? Jerry -- Engineering is the art of making what you want from things you can get. �����������������������������������������������������������������������
Reply by ●August 5, 20092009-08-05
On Aug 4, 5:58�pm, Jerry Avins <j...@ieee.org> wrote:> Vladimir Vassilevsky wrote: > > > Maria Isabel wrote: > > >> nobody? > > > You did not reveal the sufficient amount of knowledge for the discussion > > to be interesting and meaningful. > > Let me expand on Vladimir's observation. You want to characterize > applause as contrasted to music. That is not about signal processing, > but from what you wrote, about characterization. Matlab implements > algorithms. Without knowing what characteristic you want isolate, what > algorithm would you implement? How would you use Matlab to distinguish > wet from dry? > > Jerry > -- > Engineering is the art of making what you want from things you can get. > �����������������������������������������������������������������������I would look at the "gate" associated with the performance. If the concerts keep selling well, then the applause is likely good. Even wet vs dry is simpler than characterizing applause. Is it loud, last long, produced by many people? Who knows? Clay
Reply by ●August 5, 20092009-08-05
On 5 Aug, 17:56, Clay <c...@claysturner.com> wrote:> On Aug 4, 5:58�pm, Jerry Avins <j...@ieee.org> wrote: > > > > > > > Vladimir Vassilevsky wrote: > > > > Maria Isabel wrote: > > > >> nobody? > > > > You did not reveal the sufficient amount of knowledge for the discussion > > > to be interesting and meaningful. > > > Let me expand on Vladimir's observation. You want to characterize > > applause as contrasted to music. That is not about signal processing, > > but from what you wrote, about characterization. Matlab implements > > algorithms. Without knowing what characteristic you want isolate, what > > algorithm would you implement? How would you use Matlab to distinguish > > wet from dry? > > > Jerry > > -- > > Engineering is the art of making what you want from things you can get. > > ����������������������������������������������������������������������� > > I would look at the "gate" associated with the performance. If the > concerts keep selling well, then the applause is likely good. > > Even wet vs dry is simpler than characterizing applause. Is it loud, > last long, produced by many people? Who knows?And how is it different from, say, percussion instruments? Rune
Reply by ●August 5, 20092009-08-05
I would like to know just with someone of you did that characterization yet. If yes, I would like to know what characterist was used to detect appaluse in audio file. But I found a new paper about it on web. Thanks for your answers. On Aug 5, 1:31�pm, Rune Allnor <all...@tele.ntnu.no> wrote:> On 5 Aug, 17:56, Clay <c...@claysturner.com> wrote: > > > > > On Aug 4, 5:58�pm, Jerry Avins <j...@ieee.org> wrote: > > > > Vladimir Vassilevsky wrote: > > > > > Maria Isabel wrote: > > > > >> nobody? > > > > > You did not reveal the sufficient amount of knowledge for the discussion > > > > to be interesting and meaningful. > > > > Let me expand on Vladimir's observation. You want to characterize > > > applause as contrasted to music. That is not about signal processing, > > > but from what you wrote, about characterization. Matlab implements > > > algorithms. Without knowing what characteristic you want isolate, what > > > algorithm would you implement? How would you use Matlab to distinguish > > > wet from dry? > > > > Jerry > > > -- > > > Engineering is the art of making what you want from things you can get. > > > ����������������������������������������������������������������������� > > > I would look at the "gate" associated with the performance. If the > > concerts keep selling well, then the applause is likely good. > > > Even wet vs dry is simpler than characterizing applause. Is it loud, > > last long, produced by many people? Who knows? > > And how is it different from, say, percussion instruments? > > Rune
Reply by ●August 5, 20092009-08-05
>I would like to know just with someone of you did that >characterization yet. If yes, I would like to know what characterist >was used to detect appaluse in audio file. But I found a new paper >about it on web. > >Thanks for your answers. > >On Aug 5, 1:31=A0pm, Rune Allnor <all...@tele.ntnu.no> wrote: >> On 5 Aug, 17:56, Clay <c...@claysturner.com> wrote: >> >> >> >> > On Aug 4, 5:58=A0pm, Jerry Avins <j...@ieee.org> wrote: >> >> > > Vladimir Vassilevsky wrote: >> >> > > > Maria Isabel wrote: >> >> > > >> nobody? >> >> > > > You did not reveal the sufficient amount of knowledge for thediscu=>ssion >> > > > to be interesting and meaningful. >> >> > > Let me expand on Vladimir's observation. You want to characterize >> > > applause as contrasted to music. That is not about signalprocessing,>> > > but from what you wrote, about characterization. Matlab implements >> > > algorithms. Without knowing what characteristic you want isolate,wha=>t >> > > algorithm would you implement? How would you use Matlab todistinguis=>h >> > > wet from dry? >> >> > > Jerry >> > > -- >> > > Engineering is the art of making what you want from things you cange=>t. >> > >=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=>=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF= >=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF=AF >> >> > I would look at the "gate" associated with the performance. If the >> > concerts keep selling well, then the applause is likely good. >> >> > Even wet vs dry is simpler than characterizing applause. Is it loud, >> > last long, produced by many people? Who knows? >> >> And how is it different from, say, percussion instruments?If the clapping is rhythmic, like percussion instruments, we don't usually call that applause. :-) Steve
Reply by ●August 6, 20092009-08-06
On 6 Aug, 04:40, "steveu" <ste...@coppice.org> wrote:> >> > I would look at the "gate" associated with the performance. If the > >> > concerts keep selling well, then the applause is likely good. > > >> > Even wet vs dry is simpler than characterizing applause. Is it loud, > >> > last long, produced by many people? Who knows? > > >> And how is it different from, say, percussion instruments? > > If the clapping is rhythmic, like percussion instruments, we don't usually > call that applause. :-)If the crowd is rally pleased by some performance, they might startd applauding 'in beat' to try and persuade the performer to an encore. Rune
Reply by ●August 6, 20092009-08-06
On 6 Aug, 01:23, Maria Isabel <mariaif...@gmail.com> wrote:> I would like to know just with someone of you did that > characterization yet. If yes, I would like to know what characterist > was used to detect appaluse in audio file.The question you ask is very difficult to answer. Human beings have been exposed to sounds all their lifes and have learned to distinguish between different sounds and types of sounds. As far as I know, no one understand what clues the brain uses to classify one sound as 'applause' and another as 'random noise' or maybe 'percussion instrument.' Nor does anybody have the detailed knowledge about how it processes those clues to do the classification. Until somebody finds the answers to both those questions (find out what clues to use, and how to use them) your problem can not be solved. Rune
