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audio-labeler
An in-browser app for labeling audio clips at random, using Docker and Flask.kaldi-pop-up-archive
A Docker image for the Kaldi speech recognition tool + training data from Pop Up Archiveaudio-tagging-toolkit
A Python package for audio annotation and classifier training. Developed in collaboration with the WGBH Foundation and the American Archive of Public Broadcasting.AudiAnnotate
Workflows for generating AV editions and exhibits using IIIF manifests by HiPSTAS and Brumfield Labs.audio-ml-lab
A Dockerized Jupyter notebook environment with pre-installed audio machine learning tools.spokenweb
The development of this workshop for audio analysis has been supported by the SpokenWeb (https://spokenweb.ca/) and the Bridging Barriers Good Systems (https://bridgingbarriers.utexas.edu/good-systems/) projects. Developers for the workshop include Brian McFee, Chris Ick, Liz Fischer, and Tanya Clement.sida
Speaker Identification for Archives. This repository includes several notebooks that walks through the steps of training and running a classifier that takes speaker labels and the audio, extracts features (including vowels), and trains a model and runs it.documentation
Getting Startedaapb-speaker-labels
This repository contains speaker labels in CSV files for training speaker identification classifiers. These speakers appear in a subset of AAPB files.aapb-data
Data and code for ongoing collaboration between the High-Performance Sound Technologies for Access and Scholarship research group at UT Austin, the WGBH Foundation, and the American Archive of Public Broadcasting.applause-classifier
This repository includes training data and SVM classifier for locating applause in audio recordings.aapb-ubm
This repository contains preprocessing instructions for building a universal background model for speaker identification in the AAPB corpus.american-archive-kaldi
audio-ml-introduction
This repository contains a demonstration workshop run at Indiana University at Bloomington, March 2017.test-tone-classifier
A machine learning classifier, including training data, for identifying broadcast test tones in audio and video files.audio-ml-lab-server
audio_basic_workflows
This repository contains notebooks with basic and simple workflows for audio processing and analysis in the humanities.AudiAnnotateTheme
Jekyll Theme for AudiAnnotate Projectspbcore-mongodb
This repository contains all the pbcore metadata from the AAPB. This includes a script that turns the XML structure into JSON and loads pbcore metadata in mongodb database in order to construct or customize speaker-specific UBMsaapb-demo-notebooks
These demo notebooks demonstrate how to train and run audio classifiers.aapb-classifier-output
Audio classifier output for identifying Marco Werman as a speaker across all the recordings of The World in AAPBin the American Archive of Public Broadcasting. CSV includes start time, duration, confidence level, speaker nameLove Open Source and this site? Check out how you can help us