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Shammur Absar 's Projects

openslr_gender_survey icon openslr_gender_survey

This is the R script and the table used for the gender analysis of the speech corpora available on OpenSLR.

primock57 icon primock57

Dataset of 57 mock medical primary care consultations: audio, consultation notes, human utterance-level transcripts.

pyaudioanalysis icon pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pydub icon pydub

Manipulate audio with a simple and easy high level interface

python-audio icon python-audio

Some Jupyter notebooks about audio signal processing with Python

pyvad icon pyvad

A simple VAD pipeline based on pyAudioAnalysis

rennet icon rennet

Deep Learning Utilities for Audio Segmentation

semeval2022task3 icon semeval2022task3

The PreTENS shared task hosted at SemEval 2022 aims at focusing on semantic competence with specific attention on the evaluation of language models with respect to the recognition of appropriate taxonomic relations between two nominal arguments (i.e. cases where one is a supercategory of the other, or in extensional terms, one denotes a superset of the other).

sidnet icon sidnet

kaldi-free Speaker recognition toolkit using tensorflow

thinkdsp icon thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

transformer-cnn-emotion-recognition icon transformer-cnn-emotion-recognition

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

transformers icon transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

transformers-interpret icon transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

voice_datasets icon voice_datasets

🔊 A comprehensive list of open-source datasets for voice and sound computing (50+ datasets).

wer_are_we icon wer_are_we

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

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