Search Results for "audio transcript"

Podcastfy is an open-source Python package that transforms multi-modal content (text, images) into engaging, multi-lingual audio conversations using GenAI. Input content includes websites, PDFs, youtube videos as well as images. Unlike UI-based tools focused primarily on note-taking or research synthesis (e.g. NotebookLM), Podcastfy focuses on the programmatic and bespoke generation of engaging, conversational transcripts and audio from a multitude of multi-modal sources enabling customization...

LARA is software for musical analysis using (new) scientific methods for analysis and visualization. LARA is part of the core research: “Interpretation and performance” of the HSLU – Musik (University of Applied Sciences Luzern – Music depart

Footswitch 2 (Basic) is a media player for transcribers on Linux. This version is a stripped down version of Footswitch2, containing only the absolute essentials for transcription. Written in python and using the python bindings for VLC it allows a transcriber to control the audio or video with a footpedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do...

This software is to help type in text from speech recordings. It has several functions proven to help this type of work. However it is fully manual (aside from auto-completion), so no speech recognition if you are looking for that, but it is a great tool to do the job.

transqript can be used to transcribe audio files of interviews etc. to text files.

A Sermon Content Management System based on asp.net. It allows for collection of: speaker, summary, topics, keywords, date, title and transcript information. Creates podcast of mp3 and allow for embedding of video from popular online video providers.

Speech Made Visible is an experiment in showing some of the qualities of speech in printed text. Analyze a recording for attributes like pitch, intensity (loudness), and speed; then style the words in a transcript to suggest those characteristics.