-
KIIT
- India
-
10:29
(UTC +05:30) - https://www.linkedin.com/in/sambitpraharaj
- https://orcid.org/0000-0003-4039-9696
- @sambitphd
Highlights
- Pro
Starred repositories
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
🔉 Play and Record Sound with Python 🐍
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.
BookNLP, a natural language processing pipeline for books
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Wrapper to expose Kinect for Windows v2 API in Python
semi supervised guided topic model with custom guidedLDA
3-D Scientific Visualization in the Jupyter Notebook
speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition
Real-time Voice Activity Detection in Noisy Eniviroments using Deep Neural Networks
tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings
This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.
DOA, VAD and KWS for ReSpeaker Microphone Array
A sentence segmenter that actually works!
Fastest Gephi's ForceAtlas2 graph layout algorithm implemented for Python and NetworkX
Implementation of Posenet in TensorFlow
This is the wiki of ReSpeaker Core V2, ReSpeaker Core and ReSpeaker Mic Array.
Tensorflow Demo for my TF in 5 Min Video on Youtube
A playable implementation of Fully Convolutional Networks with Keras.
This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube
Speaker diarization scripts, based on AaltoASR