Search Results for "transcribing"
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Showing 25 open source projects for "transcribing"
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WhisperJAV
Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD
WhisperJAV is an open-source speech transcription pipeline designed specifically for generating subtitles for Japanese adult video content. The project addresses challenges that standard speech recognition models face when transcribing this type of audio, which often includes low signal-to-noise ratios and large numbers of non-verbal vocalizations. Traditional automatic speech recognition systems can misinterpret these sounds as words, leading to inaccurate transcripts. WhisperJAV introduces a specialized pipeline that separates text generation from timestamp alignment, allowing the system to generate transcripts and then align them with audio using forced alignment techniques. ... -
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Hyprnote
Local-first AI Notepad for Private Meetings
Hyprnote is an open-source, privacy-first AI notepad app designed for taking notes during meetings—transcribing audio (microphone and system) and generating context-rich summaries using on-device AI models like Whisper and HyprLLM, all without any data leaving your machine.(turn0search7, turn0search1). Listens to your meetings while you write. Crafts smart summaries based on your quick notes. Runs completely offline using open-source models like Whisper or HyprLLM. -
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whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps
...Whisper models were trained to predict approximate timestamps on speech segments (most of the time with 1-second accuracy), but they cannot originally predict word timestamps. This repository proposes an implementation to predict word timestamps and provide a more accurate estimation of speech segments when transcribing with Whisper models. Besides, a confidence score is assigned to each word and each segment. -
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Style-Bert-VITS2
Style-Bert-VITS2: Bert-VITS2 with more controllable voice styles
Style-Bert-VITS2 is a text-to-speech system based on Bert-VITS2 that focuses on highly controllable voice styles and emotional expression. It takes the original Bert-VITS2 v2.1 and its Japanese-Extra variant and extends them so you can control emotion and speaking style with fine-grained intensity, not just choose a generic tone. The project targets both power users and beginners: Windows users without Git or Python can install and run it using bundled .bat scripts, while advanced users can... -
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WhisperSpeech
An Open Source text-to-speech system built by inverting Whisper
WhisperSpeech is an open-source text-to-speech system created by “inverting” OpenAI’s Whisper, reusing its strengths as a semantic audio model to generate speech instead of only transcribing it. The project aims to be for speech what Stable Diffusion is for images: powerful, hackable, and safe for commercial use, with code under Apache-2.0/MIT and models trained only on properly licensed data. Its architecture follows a token-based, multi-stage pipeline inspired by AudioLM and SPEAR-TTS: Whisper is used to produce semantic tokens, EnCodec compresses the waveform into acoustic tokens, and Vocos reconstructs high-fidelity audio from those tokens. ... -
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Whisper-Studio
Another whisper wrapper, built fully in C++, with some neat features.
a native lightweight C++ application for OpenAI's Whisper, with a few new things like transcribing audio in real-time, identifying speakers, auto-paste transcriptions, and a few other things. Its not the prettiest app, I suck at design, but it gets the job done. -
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# Radio Transcription Tool v3.1 A professional Python application for recording and transcribing Dutch and Belgian radio streams using OpenAI Whisper API, with advanced keyword extraction powered by KeyBERT. ## 🎯 Features - **Live Radio Recording**: Record streams from 40+ Dutch and Belgian radio stations - **Live Stream Listening**: Listen to radio streams without recording - **AI Transcription**: High-quality transcription using OpenAI Whisper API - **Smart Keyword Extraction**: Advanced phrase analysis with KeyBERT - **Professional UI**: Modern Tkinter interface with Bluvia branding - **Organized Output**: Timestamped folders with MP3 recordings and transcriptions - **API Key Management**: Built-in OpenAI API key configuration
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A2M — Audio to MIDI
A2M is a desktop app that converts AUDIO TO MIDI in one click.
A2M (Audio To MIDI) is a simple desktop tool for transcribing local audio files into MIDI files with one click. It is designed primarily for piano recording transcription, and works best on solo piano recordings. Using A2M is straightforward: Select an audio file, click Convert, and the application generates a MIDI file automatically in your Downloads/A2M folder. All processing is done locally on your device, no uploads, no accounts, and no telemetry. -
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Piano transcription
Task of transcribing piano recordings into MIDI files
Piano transcription is an open-source high-resolution piano transcription system by ByteDance that converts raw audio recordings of piano performance into symbolic MIDI files — detecting note onsets, offsets, pitch, velocity, and even pedal usage. The system is implemented in Python (PyTorch) and is capable of accurate transcription of polyphonic piano recordings, even with complex passages and pedal techniques, making it suitable for classical piano music. By using this transcription tool,... -
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AutoSub
A CLI script to generate subtitle files (SRT/VTT/TXT) for any video
AutoSub is a Python-based tool designed to automatically generate subtitles for video or audio content using speech recognition technology. It processes media files by extracting audio, transcribing spoken content, and generating subtitle files in standard formats. The tool supports multiple languages and can integrate with translation systems to produce subtitles in different languages. It is designed for automation, allowing batch processing of multiple media files. AutoSub leverages FFmpeg for media handling and integrates with speech recognition engines for transcription. ... -
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Tengwar Editor
Create, save, copy and edit tengwar texts with this application.
Tengwar is the alphabet of elfish languages which was invented by J.R.R.Tolkien. The application will be write sentences in different languages by simbols of tengwar. -
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FtlTranscribe
For transcribing: Writing down the content of a sound file
I made this program to help me when I transcribed the interviews during my master thesis. Select a sound file - select a text file. Play an interval of i.e. 5 seconds of the sound file by pressing F8. Write into the text file. Then play the next interval. F9 repeats the last interval. Download the zip file. Unpack it. Run the setup. -
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This is a toolkit for transcribing a music audio file to common music notation. This is done by manually annotating a spectrogram or something similar and converting it to a MIDI file and to a abc music notation file.
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The Tibetan and Himalayan Library has several open-sourced tools for inputting, manipulating, translating, and transcribing Tibetan-language text, audio, and video. We aim to make using a computer easier for Himalayan peoples and scholars.
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TranscriberAG is designed for assisting the manual annotation of speech signals. It provides a user-friendly GUI for segmenting long duration speech recordings, transcribing them, labeling speech turns, topic changes and acoustic conditions.
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MusicAide is a tool to assist musicians in transcribing and typesetting music. It has MIDI support, can export to LilyPond, and can produce guitar tablature.
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Keystroke enables the transcription and logging of continuous media such as audio or video. It features media control (pause/play/seek) through keys to increase efficiency while transcribing and/or logging.
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OpenTranscribe is a software to aid musicians in transcribing music. It lets you slow down a part of the music without affecting pitch. It also lets you loop over a section which have some tricky parts.
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SignStream is an application for transcribing video and other time-based media. It's primary use is linguistic analysis, notably of signed languages and gesture, although it is intended to facilitate analysis of other types of time-based media.
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TransKribe is a very simple, rather unfinished KDE application designed to aid in the task of transcribing audio (speech) recordings. The most important feature are playback control via easily accessible keys and automatic insertion of time-marks.
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Scribam is an application for transcribing and engraving Gregorian Chant. It assists in the initial entry steps, as well as in the final layout and pagination phrase.
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GUIDE (GUgyeol Integrated Decipherment Environment) is a set of tools for browsing historical document images, transcribing, deciphering and translating it. Developed for studying old buddhist codices, it would be serviceable for studying any papyri.
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Linguistics tool, mainly for discourse analysis. Trans-Scribe will provide users with an interface for transcribing .wav audio speech files in any language and creating documents that display, publish, or export the waveform along with transcriptions.
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