High-Performance Sound Technologies for Access and Scholarship
Helping humanists access and analyze speech audio collections.
Austin, Texas
Pinned Repositories
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.
AudiAnnotate
Workflows for generating AV editions and exhibits using IIIF manifests by HiPSTAS and Brumfield Labs.
audio-labeler
An in-browser app for labeling audio clips at random, using Docker and Flask.
audio-ml-lab
A Dockerized Jupyter notebook environment with pre-installed audio machine learning tools.
audio-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.
documentation
Getting Started
kaldi-pop-up-archive
A Docker image for the Kaldi speech recognition tool + training data from Pop Up Archive
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.
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.
High-Performance Sound Technologies for Access and Scholarship's Repositories
hipstas/kaldi-pop-up-archive
A Docker image for the Kaldi speech recognition tool + training data from Pop Up Archive
hipstas/AudiAnnotate
Workflows for generating AV editions and exhibits using IIIF manifests by HiPSTAS and Brumfield Labs.
hipstas/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.
hipstas/documentation
Getting Started
hipstas/american-archive-kaldi
hipstas/AudiAnnotateTheme
Jekyll Theme for AudiAnnotate Projects
hipstas/ava_docs
This is the primary repository for AVAnnotate's documentation. https://hipstas.github.io/ava_docs/
hipstas/annotating-adler
Annotating Adler
hipstas/annotating-spokenweb-performances
Annotating Performance in the SpokenWeb Collections
hipstas/anthology-introduction
Introduction to The SpokenWeb Anthology
hipstas/AVAnnotate
hipstas/dv
DistantViewer Docker for Intro to DH class
hipstas/dvt-workshop
Introductory workshop for Distant Viewing Toolkit: https://distant-viewing.github.io/dvt/
hipstas/gea-psychic-spirituality-recordings
Psychic and Spirituality Recordings in the Gloria Evangelina Anzaldúa Papers
hipstas/hearing-lived-experience
Hearing Lived Experience
hipstas/out-of-the-cage-michael-mcclure-and-the-digital-lyric-archive
Out of the Cage: Michael McClure and the Digital Lyric Archive
hipstas/performance-reading-acker
A Performance Reading by Kathy Acker
hipstas/practice-kayleigh-2
Practice Project 2 - Kayleigh
hipstas/radio-venceremos-english
The Power and Reality of Radio During Revolution
hipstas/radio-venceremos-espanol
El poder y la realidad de la radio durante revolución
hipstas/Roy-Kiyooka-Classroom-Visit-University-of-Alberta-1977
Roy Kiyooka Classroom Visit at the University of Alberta, 1977
hipstas/sfu-poetry-panel
Annotating Literary History: Canadian Modernism of the 1930s and 1940s
hipstas/small-stones-sonic-layers
Sonic Layers in "Small Stones"
hipstas/spokenweb-anthology
The SpokenWeb Digital Anthology
hipstas/spokenweb_docker
hipstas/testing-naropa
Testing
hipstas/testing-vera
Testing for Vera
hipstas/The-speed-of-darkness
The Speed of Darkness
hipstas/universalviewer
A community-developed open source project on a mission to help you share your 📚📜📰📽️📻🗿 with the 🌎
hipstas/Voxit
Matlab functions to analyze vocal parameters, by Lee M. Miller in collaboration with Marit J. MacArthur.