Speech-Process | THU EE course project | Learning library

by cdjhz Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Speech-Process Summary

Speech-Process is a Python library typically used in Tutorial, Learning, Docker applications. Speech-Process has no bugs, it has no vulnerabilities and it has low support. However Speech-Process build file is not available. You can download it from GitHub.

THU EE course project

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Speech-Process has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Speech-Process has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Speech-Process is current.

Quality

Speech-Process has no bugs reported.

Security

Speech-Process has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Speech-Process does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Speech-Process releases are not available. You will need to build from source code and install.

Speech-Process has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Speech-Process and discovered the below as its top functions. This is intended to give you an instant insight into Speech-Process implemented functionality, and help decide if they suit your requirements.

Train the model
Saves the model to file
Extract the frequency feature from a wav signal
Predict the model
Test the model
Load data list
Returns the dataNum of the WAV file
Returns the symbol list
Returns a list of dictionaries from a file
Load the model
Returns a dictionary of symbols
Extract pinyin from a text file
Returns a dictionary of language models
Recognize speech from a file
Recognize the audio signal
Get symbol list
Stop recording
Convert speech to text
Save the audio frames
Converts speech to text
Decode a list of words to a list of words
Get the frequency feature of a wav signal
Show wave data
Loads a model

Get all kandi verified functions for this library.

Speech-Process Key Features

No Key Features are available at this moment for Speech-Process.

Speech-Process Examples and Code Snippets

No Code Snippets are available at this moment for Speech-Process.

Community Discussions

Trending Discussions on Speech-Process

Calculating spectrogram of .wav files in python

QUESTION

Calculating spectrogram of .wav files in python

Asked 2019-Mar-06 at 14:06

I am trying to calculate the spectrogram out of .wav files using Python. In an effort to do so, I am following the instructions that could be found in here. I am firstly read .wav files using librosa library. The code found in the link works properly. That code is:

...

ANSWER

Answered 2019-Mar-06 at 14:06

It may be because you've not tweaked the parameters of the librosa melspectrogram method.

In your original implementation you specify nfft=2048. This could be passed to melspectrogram and you will see different results.

This article describes 'waveform frequency resolution' and 'fft resolution' which are important parameters when doing a FT. Understanding them may help reproducing your original spectograms.

http://www.bitweenie.com/listings/fft-zero-padding/

The specshow method has various parameters too which will directly affect the plots you're producing.

this stack posts lists the various spectogram parameters in MATLAB, but you can draw similarities between the MATLAB version and librosa version.

What is a spectrogram and how do I set its parameters?

Source https://stackoverflow.com/questions/54903873

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Speech-Process

You can download it from GitHub.
You can use Speech-Process like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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