similar to: speex_denoise on non-microphone noise (static ?)

Take what I say with a grain of salt: I'm an amateur and haven't actually touched Speex in any way, yet. I'm just sort of passing on personal belief from personal experience. Also, check and make sure that the microphone line is insulated. There are a number of problems with sound cards picking up interference from the host machine. The wires that run between ICs on a card

Thanks for the speedy response and detailed, enlightening explanation. Now I understand where the problem is, and will try out your suggestions just to further confirm my conjecture. When I am done, I have to take the foil out, though. This is a product for our customers to use, and although we've got budget for mulffing every sound card we developers use, most likely the company

I'm not sure you'd have much success in trying to make a generic profile to fit the "typical noisy PC" since PC configurations vary so much. Consider an integrated AC97 codec vs. the mic input on an SB Live!/Audigy Live!Drive, or whether or not the input from the CD-ROM audio is muted, or what noisy devices might be situated near the mic. It's nice to be able to get

Hi, I'm not sure how speex_denoise() works, but my solution to this problem is fairly straightforward and works well in practice (in a simple VoIP program.) Note that I am also an amateur and am making up some terminology here... but I've tested my approach on several noisy environments with low-quality mics and it does work well. Problem: There's usually annoying noise present

That's might be speex_denoise() is trying to do already, based on the fact that if noise is present in speech signal, the former gets suppressed to a certain extend. Also, I noticed after suppression, the short, noisy attack - speex_denoise() have to be doing some kind of profiling. I've looked at a few offline denoise() solutions. They all involve profile building. A real-time

The problem started with speech detection. Speech sections are detected well. However, once in a while non-speech sections are also marked as speech. The root was finally traced down to microphone static noise. Then I pulled the microphone out. Our system still records noise. To isolate the problem, I wrote a small app just to open the device and record raw samples, calls speex_denoise()

> Then I pulled the microphone out. Our system still records noise. To > isolate the problem, I wrote a small app just to open the device and > record raw samples, calls speex_denoise() and outputs both sample > sets. > The noise is still there, with level fluctuating with gain level, > unless > "All mute" is chosen. > In the case when NO microphone is

Hi, There seems to be some confusion as to how speex_denoise (now called speex_preprocess) works. Unlike what some here assume, the noise estimation is not done offline or while prompting the user. The system automatically adapts the noise estimate when it detects that the user is not talking. This also means that it is able to adapt to changing noise environments - as long as the noise is not

This works really well for white noise reduction. However what I've noticed was the amplitudes of normal speech samples also get reduced. Is this something by design, or is there a way to automatically recover the original speech sample volumes ? <p>Thanks. <p>Tongbiao <p>-----Original Message----- From: Jean-Marc Valin [mailto:jean-marc.valin@hermes.usherb.ca] Sent:

Hello, With high microphone gain, I seem to have problem making the silence detection work. The speech detection works well for the rare dish sample, which has very low noise amplitudes in silence regions. However, if the microphone gain is set to really high, noise samples are taken as speech, as indicated by the non-zero return value from speex_encode() calls. I had VAD turned on.

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I tried feeding in the 3 encoded frame in ONE BLOCK, and calling speex_decode() 3 times in a roll. Only the 1st frames came out perfectly. For the other 2, I got "corrupt" frame warning. I was supposed to get 38 bytes consumed each frame (narrow-band, VBR off). I tried speex_bits_remaining() to peek on the # of bits consumed, and got variable (clearly wrong)#s returned. But if I

Dear All, I am facing problem with NA treatment in my financial time series data. # data reading aluminum = read.csv(file="alu.csv", header=T, sep=",") fut = aluminum [,2] spt = aluminum [,3] # Missing Value Treatment (Linear Interpolation) spt = interpNA(spt, method = c("linear")) fut = interpNA(fut, method = c("linear")) fut=fut[,1] spt =spt[,1]

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Dear All, I would like to to group the Ticker by Industry and create file names from the Industry Factor and export to a txt file. I have tried the folowing ind=finvizAllexETF$Industry ind is then "Aluminum" "Business Services" "Regional Airlines" ind2=gsub(" " ,"",ind) ind3 [1] "Aluminum"

Hi all again, Thanks for the response to my previous question, Jean-Marc. It was of great help. Now another problem I encountered: How do I detect that comfort noise is being sent out (I have VAD, DTX on)? I could not find an API function for it, so tried frame rate. For nb, it gives 2950-3950 for silence, however it seems to also give low number sometimes even for speech periods. I

Hello, We currently have code for sampling at 8 KHz at device layer. In order to have minimal code change while still doing wideband I am thinking of packing two 20 ms frames of the low band data as input to Wideband mode for encoding. Is this a feasible idea? I actually tried it out. Speech came out at the decoding end, but I could occasionally hear low pitched, high frequency

Anyone notice that their IAXy gets quite warm when you're on a call, a little warm on idle? How warm does it get when say two or three people are on two or three phones on a call? Anyone thought of making an aluminum case for it?

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