I'm using Portaudio in order to record the sound in a .raw file but I would like to start the recording only when there is a sound and stop it when there is a silence.
Is there a way to do this with Portaudio?
If not, do you have any idea about how I could do it?
Thanks in advance!
Portaudio cannot do what you need. The solution you are looking for is called Vox. Internet search vox algorithm and you'll find lots of implementations. I'm sure there are even libraries that will calculate it for you. I usually just take the rms of the signal buffer and compare it to a predetermined threshold. If you don't convert the signal level to dB you will probably be working with values in the range of 0.01 To 0.05. In dB you should be working in the -50 to -30 range.
Related
I need to monitor an AC Voltage waveform and record the RMS value when the breakdown happens. I roughly know how to acquire data from videos I have watched, however, it is difficult for me to produce a solution that reads the Breakdown Voltage Value. Ideally, I would also take a screenshot along with the breakdown voltage value,
In case you are not familiar with this topic, When a breakdown happens the voltage will drop immediately to zero. So what I need is to measure the voltage just before it falls to zero, and if possible take a screenshot. This is an image of a normal waveform (black) with a breakdown one (red).
Naive solution*:
Take the data and get the Y values (this would depend on the datatype you have, which would depend on how you acquire the data).
Find the breakdown point by iterating over the values and maintaining a couple of flags (I would probably say track "got higher than X" and once that's true, track "got lower than Y").
From that, I would just say take the last N points (Get Array Subset) and get the array max. Or just track the maximum value as you run.
Assuming you have the graph in a control, you can just right click and select Create>>Invoke Node>>Export Image.
I would suggest trying playing with that with a VI with static data which you can repeatedly run to check how your code behaves.
*I don't know the problem domain and an not overly familiar with the various analysis VIs that ship with LV, so there are quite possibly more efficient ways of doing this.
Im using AForge to build a Neuronal network.
But I have a hard time to define my input parameters. In my training Data, one input value is the time of an event.
As far as I know the input values should be between -1 and +1?
I cant figure out what the best way is to normalize/standardize the time-value.
One way would be to choose a min- and a max-value. The min value would be -1 and the max-value is 1. But then the network would stop working for values outside this timeframe or when the timeframe is to big, the difference between the inputs will be very small.
I thought of splitting the time value into several input values (like minute, hour, day, month, year) and use this as a several inputs but this moves the problem just to the "year"-input.
Another way is to use a logarithmic scale.
Are there any best practices for this or a good possibility I just did not think of?
Update:
The input consists of:
A module number
the time it was opened
the user who opened it
...
Output:
the module number of the module which will likley opened next
You can just use timesteps.
You probably have dataset something like that:
12/13/2012 01:00,23,345,235,235,644,757,
12/13/2012 01:02,455,325,235578,23524,6413,757567,
12/13/2012 01:08,123,125,2375,23554,64123,75778,
...,
12/13/2019 07:33,244,245,231235,2158935,6567944,7567557
You can drop your first column:
23,345,235,235,644,757,
455,325,235578,23524,6413,757567,
123,125,2375,23554,64123,75778,
...,
244,245,231235,2158935,6567944,7567557
and work with your data directly.
Check this article https://machinelearningmastery.com/time-series-forecasting-supervised-learning/. Hope it helps.
I need to do a Vlookup from another workbook on about 400000 cells with Vba. These cells are all in one Column.And shall be written into one Column. I know already , how the Vlookup Works, but my runtime is much to high by using autofill. Do you have an Suggestion how i can approve it?
Dont use VLookup use Index Match: http://www.randomwok.com/excel/how-to-use-index-match/
If you are able to adjust what the data looks like a slight amount, you may be interested in using a binary search. Its been a while since I last used one (writing a code for group exercise check-in program). https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/implementing-binary-search-of-an-array , was helpful in setting up the idea behind it.
If you are able to sort them in an order, say by last name (im not sure of what data you are working with) then add an order of numbers to use for the binary search.
Edit:
The reasoning for a binary search would be that with a binary search is that the computational time it takes. The amount of iterations it would take is log2(400000) vs 400000. So instead of 400000 possible iterations, it would take at most 19 times with a binary search, as you can see with the more data you use the binary search would yield much quicker times.
This would only be a beneficial way if you are able to manipulate the data in such a way that would allow you to use a binary search.
So, if you can give us a bit more background on what data you are using and any restrictions you have with that data we would be able to give more constructive feedback.
and thanks for reading my thread.
I have read some of the previous posts on formatting/normalising input data for a Neural Network, but cannot find something that addresses my queries specifically. I apologise for the long post.
I am attempting to build a radial basis function network for analysing horse racing data. I realise that this has been done before, but the data that I have is "special" and I have a keen interest in racing/sportsbetting/programming so would like to give it a shot!
Whilst I think I understand the principles for the RBFN itself, I am having some trouble understanding the normalisation/formatting/scaling of the input data so that it is presented in a "sensible manner" for the network, and I am not sure how I should formulate the output target values.
For example, in my data I look at the "Class change", which compares the class of race that the horse is running in now compared to the race before, and can have a value between -5 and +5. I expect that I need to rescale these to between -1 and +1 (right?!), but I have noticed that many more runners have a class change of 1, 0 or -1 than any other value, so I am worried about "over-representation". It is not possible to gather more data for the higher/lower class changes because thats just 'the way the data comes'. Would it be best to use the data as-is after scaling, or should I trim extreme values, or something else?
Similarly, there are "continuous" inputs - like the "Days Since Last Run". It can have a value between 1 and about 1000, but values in the range of 10-40 vastly dominate. I was going to scale these values to be between 0 and 1, but even if I trim the most extreme values before scaling, I am still going to have a huge representation of a certain range - is this going to cause me an issue? How are problems like this usually dealt with?
Finally, I am having trouble understanding how to present the "target" values for training to the network. My existing results data has the "win/lose" (0 or 1?) and the odds at which the runner won or lost. If I just use the "win/lose", it treats all wins and loses the same when really they're not - I would be quite happy with a network that ignored all the small winners but was highly profitable from picking 10-1 shots. Similarly, a network could be forgiven for "losing" on a 20-1 shot but losing a bet at 2/5 would be a bad loss. I considered making the results (+1 * odds) for a winner and (-1 / odds) for a loser to capture the issue above, but this will mean that my results are not a continuous function as there will be a "discontinuity" between short price winners and short price losers.
Should I have two outputs to cover this - one for bet/no bet, and another for "stake"?
I am sorry for the flood of questions and the long post, but this would really help me set off on the right track.
Thank you for any help anyone can offer me!
Kind regards,
Paul
The documentation that came with your RBFN is a good starting point to answer some of these questions.
Trimming data aka "clamping" or "winsorizing" is something I use for similar data. For example "days since last run" for a horse could be anything from just one day to several years but tends to centre in the region of 20 to 30 days. Some experts use a figure of say 63 days to indicate a "spell" so you could have an indicator variable like "> 63 =1 else 0" for example. One clue is to look at outliers say the upper or lower 5% of any variable and clamp these.
If you use odds/dividends anywhere make sure you use the probabilities ie 1/(odds+1) and a useful idea is to normalize these to 100%.
The odds or parimutual prices tend to swamp other predictors so one technique is to develop separate models, one for the market variables (the market model) and another for the non-market variables (often called the "fundamental" model).
I need some pointer crafting an MS-DOS batch "function" to advance the system calendar N number of days from the current one. Is there a more machine-friendly command, or am I stuck with DATE and some Franken-hack parsing of it?
On one of my favorite batch sites on the net Rob van der Woude's Scripting Pages you can find in the examples section a script called DateAdd.bat. It will calculate and print a new date based on a given date and offset.
It should be fairly easy to change the script to your needs or use it along with your own script. Get back to us if you need further help with that.
If you're truly using MS-DOS rather than the more advanced cmd.exe, your options are very limited since the variable manipulation was pretty bad.
I do remember needing something similar in a previous life. From memory, rather than trying to screw around with date calculations, we simply ran a loop (one iteration for each day) and, inside the loop, set the time to 23:59 then wait for five seconds or so. Unfortunately, I think that pre-dated ping so we couldn't even use the sleep trick - we had to run a lengthy goto loop to be certain.
That way, DOS itself figured out whether "tomorrow" was the 31st of September or 1st of October.
In the end, it became too much trouble so I would suggest you do what we finished up doing. Grab yourself a copy of Turbo C from Borland's (or InPrise or Enchilada or whatever they're called nowadays - they'll always be Borland to me) museum site and write a quick little C program to do it for you .