wav2vec2-base-960h

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TLtanium / meta-lingo-electron

Meta-Lingo is a comprehensive desktop application designed for corpus linguistics research. Built with modern technologies (Electron + React + Python FastAPI), it provides powerful tools for multimodal corpus management, linguistic analysis, and annotation.

reactjs plotly python3 linguistics electron-app corpus-linguistics d3js clip annotation-tool corpus-tools topicmodeling multimodal nmf-matrix-factorization lda-models bertopic yolov8 torchcrepe wav2vec2-base-960h lsa-model

Updated Mar 15, 2026
TypeScript

aalto-speech / MTKD4AccentedASR

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Multi-Teacher Knowledge Distillation for Accented English Speech Recognition

automatic-speech-recognition knowledge-distillation accented-speech wav2vec2-base-960h multi-teacher-kd

Updated Sep 3, 2025
Python

trinhtuanvubk / finetune-wav2vec2

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docker speech-recognition fine-tuning ngram-language-model wav2vec2 wav2vec2-base-960h

Updated Jan 31, 2024
Python

dhruvakashyap73 / TrueeTone

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Engineered an ensemble AI model to detect AI-generated audio using DNN, CNN, and Wav2Vec2.0, deployed via an interactive Streamlit app.

tensorflow python3 pytorch ngrok librosa cnn-model fpdf-library streamlit dnn-model wav2vec2-base-960h

Updated Aug 4, 2025
Jupyter Notebook

prateekralhan / speech-2-data-expert.ai-streamlit

Sponsor

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A minimalistic automatic speech recognition streamlit based webapp powered by wav2vec2-base-960h Facebook model provided by HuggingFace transformers and the NL API provided by expert.ai

python3 opensourceforgood huggingface-transformers streamlit-webapp expertai wav2vec2-base-960h