{"id":18439474,"url":"https://github.com/idiap/ssp","last_synced_at":"2025-04-07T21:32:30.814Z","repository":{"id":73683120,"uuid":"10594710","full_name":"idiap/ssp","owner":"idiap","description":"Speech Signal Processing - a small collection of routines in Python to do signal processing","archived":false,"fork":false,"pushed_at":"2018-08-07T12:07:14.000Z","size":182,"stargazers_count":45,"open_issues_count":0,"forks_count":18,"subscribers_count":11,"default_branch":"master","last_synced_at":"2025-03-23T01:01:50.564Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/idiap.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"COPYING","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2013-06-10T06:29:01.000Z","updated_at":"2025-03-16T19:28:17.000Z","dependencies_parsed_at":null,"dependency_job_id":"5076fdc9-f122-4bea-bcae-02e9ba5eae42","html_url":"https://github.com/idiap/ssp","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/idiap%2Fssp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/idiap%2Fssp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/idiap%2Fssp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/idiap%2Fssp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/idiap","download_url":"https://codeload.github.com/idiap/ssp/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247732692,"owners_count":20986904,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-06T06:24:55.125Z","updated_at":"2025-04-07T21:32:30.801Z","avatar_url":"https://github.com/idiap.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SSP - Speech Signal Processing module\n\n## Overview\n\nSSP is a package for doing signal processing in python; the functionality is\nbiassed towards speech signals.  Top level programs include a feature extracter\nfor speech recognition, and a vocoder for both coding and speech synthesis.\nThe vocoder is based on linear prediction, but with several experimental\nexcitation models.  A continuous pitch extraction algorithm is also provided,\nbuilt around standard components and a Kalman filter.\n\nThere is a \"sister\" package, [libssp](https://github.com/idiap/libssp), that\nincludes translations of some algorithms in C++.  Libssp is built around\n[libube](https://github.com/pgarner/libube) that makes this translation easier.\n\nSSP is released under a BSD licence.  See the file `COPYING` for details.\n\n## Installation\n\nTo install SSP from git, just clone it into a working directory:\n```sh\ncd ~/src  # Just for example\ngit clone git@github.com:idiap/ssp.git\ncd ssp\n```\nOr, if you work in a different directory:\n```sh\ncd where-I-work\nln -s ~/src/ssp/pitch.py\nln -s ~/src/ssp/codec.py\n```\ni.e., you shouldn't need to set `PYTHONPATH`\n\nThen you can say\n```sh\npitch.py test.wav  # Graphical view of what's going on\ncodec.py -h\ncodec.py -r 22050 -p EM1.wav EM1.lf0\n```\n\nIf you know what buildout is:\n```sh\npython bootstrap.py\n./bin/buildout\n```\n\nAlternatively, SSP is available on\n[PyPI](https://pypi.python.org/pypi) at\nhttps://pypi.python.org/pypi/ssp  That's available by typing\n```sh\npip install ssp  # Root level installation\n```\nor\n```sh\npip install ssp --user  # User level in ~/.local\n```\nNote that the PyPI package is very likely to be out of date!\n\nOtherwise, see the wiki at https://github.com/idiap/ssp/wiki\n\n## Publications\n\nThe pitch tracker in SSP is documented in the paper:\n```\n@Article{Garner2013,\n  author =       \"Garner, Philip N. and Cernak, Milos and Motlicek,\n                  Petr\",\n  title =        \"A Simple Continuous Pitch Estimation Algorithm\",\n  journal =      \"IEEE Signal Processing Letters\",\n  year =         2013,\n  month =        \"January\",\n  volume =       20,\n  number =       1,\n  pages =        \"102--105\",\n  doi =          \"10.1109/LSP.2012.2231675\"\n}\n```\nand there is a [downloadable\npdf](http://publications.idiap.ch/downloads/papers/2012/Garner_SPL_2012.pdf).\n\nThe codec is documented in a technical report:\n```\n@TechReport{GarnerTech2015,\n  author =      \"Garner, Philip N. and Cernak, Milos and Potard, Blaise\",\n  title =       \"A simple continuous excitation model for parametric vocoding\",\n  institution = \"Idiap Research Institute\",\n  year =        2015,\n  type =        \"Idiap-RR\",\n  number =\t    \"03-2015\",\n  month =       \"January\"\n}\n```\nand again there is a [downloadable pdf](http://publications.idiap.ch/downloads/reports/2014/Garner_Idiap-RR-03-2015.pdf).\n\n--\n[Phil Garner](http://www.idiap.ch/~pgarner)\nJune 2013\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fidiap%2Fssp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fidiap%2Fssp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fidiap%2Fssp/lists"}