1. Summary

It would be nice, if to SpeechRecognition documentation would be added links to these parameters of each speech recognition engines/API:

1. Languages by supporting engine/API
2. Pricing
3. Limits of free plan (if exists)

2. Argumentation

2.1. Common cause

Saving a users time.

2.2. Details

For e

Description

STFT allocates an output buffer, but sometimes you might want to have it compute directly into an existing buffer. For example, in griffin-lim, the method alternates stft/istft for each iterate, which is then discarded. It would be better if we could give it an out= variable, which it would use instead of allocating a new buffer; this way, we could cut down on redundant mem

In PyAudioAnalysis > audioFeatureExtraction.py, there is stEnergyEntropy.

I can not understand what is the difference between 'Eol' and 'numpy.sum(sub_wins ** 2.)'

Plz let me know, the differece of two things( 'Eol' and 'numpy.sum(sub_wins ** 2.)')

when i run the example which using timit to build a lstm+ctc system,i meet a mistake,the error as follows：

can you give a suggest how to deal with it,thank very much.

Due to the 2GB contiguous block allocation limitation of 32 bit systems, this line:

https://github.com/readbeyond/aeneas/blob/master/aeneas/audiofile.py#L447

might throw a MemoryError, causing an "unexpected exception".

We should:

1. catch it and log a meaningful error
2. document this limitation somewhere

Hi there, this is something might be useful if it's put in the Wiki.

I've had a problem with sudo modprobe snd-aloop and adding snd-loop to /etc/modules. As the title suggest this reorders the card order during boot. Since I've only got my own setup to compare against I'll just assume that people with other GNU/Linux distros might bump into the same problem. I use Debian.

Anyway, what

🐛 Bug

In order to enable inversion of an STFT via the inverse STFT in istft, it is sufficient that the signal windowing obeys the constraint of “Constant OverLap Add” (COLA). This ensures that every point in the input data is equally weighted, thereby avoiding aliasing and allowing full reconstruction.
https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.check_COLA.html

Le

Either as its own file, its own page, or as a section in the README.

Certain questions get asked again and again, and while a FAQ won’t prevent from getting them asked, some users might actually see it, and for those that don’t, it’ll be an easy place to point to when they do get asked, instead of having to type out new variations of the essentially same paragraphs time and time again. :)

Extract from API section of Python--SoundDevice Read_the_Docs

Input overflow.

In a stream opened with blocksize=0, indicates that data prior to the first sample of the input buffer was discarded due to an overflow, possibly because the stream callback is using too much CPU time. Otherwise indicates that

The examples on the EFZ page show the API as nussl.utils.download... etc, but they should be nussl.efz_utils.download....

Also the link to the documentation points to an old version of the docs.

Consider using the Pint package for Units and Quantities

http://pint.readthedocs.org/en/0.6/

It seems well developed and tested. I've used it in several projects and cross-checked it with Wolfram Mathematica.

EDIT: it's also deeply integrated with numpy and scipy

To be able to easily model the effects of word repetition in NeuroScout, we can add a RepetitionCountExtractor class that takes a ComplexTextStim as input, and outputs the number of times each word has been previously seen before (with optional log transformation of values).