Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Bob's audio processing utilities

Project Description

Audio Processing for Bob

This package is part of the signal-processing and machine learning toolbox Bob. It contains basic audio processing utilities. Currently, the following cepstral-based features are available: using rectangular (RFCC), mel-scaled triangular (MFCC) [Davis1980], inverted mel-scaled triangular (IMFCC), and linear triangular (LFCC) filters [Furui1981], spectral flux-based features (SSFC) [Scheirer1997], subband centroid frequency (SCFC) [Le2011]. We are planning to update and add more features in the near future.

Please note that the implementation of MFCC and LFCC features has changed compared to an earlier version of the package, as we corrected pre-emphasis and DCT computations. Delta and delta-delta computations were slightly changed too.

Installation

Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install bob.ap

Contact

For questions or reporting issues to this software package, contact our development mailing list.

[Davis1980]S. Davis and P. Mermelstein, “Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences”, in IEEE Transactions on Acoustics, Speech, and Signal Processing, 1980, num 4, vol. 28, pages 357-366.
[Furui1981]S. Furui, Cepstral analysis technique for automatic speaker verification, in IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981, num 2 vol 29, pages 254-272.
[Scheirer1997]E. Scheirer and M. Slaney, Construction and evaluation of a robust multifeature speech/music discriminator, in IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 1997, vol 2, pages 1331-1334.
[Le2011]P. N. Le, E. Ambikairajah, J. Epps, V. Sethu, E. H. C. Choi, Investigation of Spectral Centroid Features for Cognitive Load Classification, in Speech Commun., April, 2011, num 4, vol 53, pages 540–551.
Release History

Release History

This version
History Node

2.1.5

History Node

2.1.4

History Node

2.1.3

History Node

2.1.2

History Node

2.1.1

History Node

2.1.0

History Node

2.0.5

History Node

2.0.4

History Node

2.0.3

History Node

2.0.2

History Node

2.0.1

History Node

2.0.0

History Node

2.0.0b1

History Node

2.0.0a0

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
bob.ap-2.1.5.zip (87.6 kB) Copy SHA256 Checksum SHA256 Source Sep 15, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting