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    • Python
      0000Updated Jul 12, 2021Jul 12, 2021
    • Python
      0000Updated Jul 11, 2021Jul 11, 2021
    • Python
      0000Updated Jul 10, 2021Jul 10, 2021
    • Python
      0100Updated Jun 6, 2021Jun 6, 2021
    • The goal of this assignment is to get some experience with sequence labeling. We will be assigning dialogue acts to sequences of utterances in conversations from a corpus.
      Python
      1000Updated May 26, 2021May 26, 2021
    • Python
      0000Updated Nov 21, 2020Nov 21, 2020
    • Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
      Python
      MIT License
      3.6k000Updated Oct 19, 2020Oct 19, 2020
    • DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
      C++
      Mozilla Public License 2.0
      4k000Updated Oct 16, 2020Oct 16, 2020
    • A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
      Apache License 2.0
      228000Updated Oct 7, 2020Oct 7, 2020
    • Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
      Python
      MIT License
      802000Updated Oct 7, 2020Oct 7, 2020
    • 🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)
      Python
      MIT License
      66000Updated Sep 20, 2020Sep 20, 2020
    • This can be used to convert the AMI corpus meeting transcripts to a speaker-by-speaker dialogue discourse conversation for each meeting.
      Python
      MIT License
      1000Updated Jul 26, 2020Jul 26, 2020
    • Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
      Python
      MIT License
      186000Updated Jul 23, 2020Jul 23, 2020
    • Conversation Analysis Annotation Schema for Computational Modelling of Dialogue
      GNU General Public License v3.0
      1000Updated Jun 10, 2020Jun 10, 2020
    • Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
      R
      1000Updated Apr 24, 2020Apr 24, 2020
    • Speaker change detection using fundamental frequency with application to multi-talker segmentation
      Jupyter Notebook
      7000Updated Jan 17, 2020Jan 17, 2020
    • A resource to create a multi domain Dialog Act Tagger for conversational agents using publicly available data
      HTML
      11000Updated Jan 9, 2020Jan 9, 2020
    • Preprocess and segement audio files from ami-corpus
      Python
      1000Updated Dec 22, 2019Dec 22, 2019
    • Speaker Identification research module
      Python
      0000Updated Dec 20, 2019Dec 20, 2019
    • CoreRank

      Public
      JavaScript
      8000Updated Nov 13, 2019Nov 13, 2019
    • In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras
      Jupyter Notebook
      234000Updated Oct 20, 2019Oct 20, 2019
    • textrank

      Public
      TextRank implementation for Python 3.
      Python
      MIT License
      258000Updated Jun 22, 2019Jun 22, 2019
    • Python
      20000Updated Dec 19, 2018Dec 19, 2018
    • In a task oriented domain, recognizing the intention of a speaker is important so that the conversation can proceed in the correct direction. This is possible only if there is a way to label the utterance with its proper intent. One such labeling technique is Dialog Act (DA) tagging. The main goal of this thesis is to build a Dialog Act tagger f…
      Python
      7000Updated Dec 17, 2018Dec 17, 2018
    • A tutorial for Automatic Text Summarization using TextRank algorithm.
      Jupyter Notebook
      115000Updated Nov 5, 2018Nov 5, 2018
    • HTML
      40000Updated May 7, 2018May 7, 2018
    • Some methods for analysing the adjacency pair annotation in the AMI corpus.
      Python
      2000Updated Mar 8, 2017Mar 8, 2017
    • The goal of this assignment is to get some experience with sequence labeling. Specifically, you will be assigning dialogue acts to sequences of utterances in conversations from a corpus. In sequence labeling it is often beneficial to optimize the tags assigned to the sequence as a whole rather than treating each tag decision separately. With thi…
      Python
      1000Updated Mar 6, 2017Mar 6, 2017
    • A dataset of clarification requesets extracted from the AMI Corpus, annotated for whether they target intentionality.
      1000Updated Feb 24, 2017Feb 24, 2017
    • Labelling dialogues with act tags using CRF suite in python
      Python
      2000Updated Feb 1, 2017Feb 1, 2017