https://github.com/touhi99/dl_dialogue_act_classification

DL Lab Project - Given a subset of switchboard corpus, goal is to classify dialogue acts from Speech and Text data. We define a RNN-LSTM model for Text classification and CNN model for speech classification and then ensemble both model to output a stable and higher performance model
https://github.com/touhi99/dl_dialogue_act_classification

classification cnn deep-learning deep-neural-networks dialogue dialogue-act embedding-models keras rnn

Last synced: about 6 hours ago
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DL Lab Project - Given a subset of switchboard corpus, goal is to classify dialogue acts from Speech and Text data. We define a RNN-LSTM model for Text classification and CNN model for speech classification and then ensemble both model to output a stable and higher performance model

• Host: GitHub
• URL: https://github.com/touhi99/dl_dialogue_act_classification
• Owner: touhi99
• Created: 2018-01-07T12:35:44.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2020-12-05T17:27:19.000Z (almost 4 years ago)
• Last Synced: 2023-11-26T21:28:17.657Z (12 months ago)
• Topics: classification, cnn, deep-learning, deep-neural-networks, dialogue, dialogue-act, embedding-models, keras, rnn
• Language: Python
• Homepage:
• Size: 1.33 MB
• Stars: 6
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Directory structure

- code

	- TextRNNLSTMModel.py (Text-RNN)

	- SpeechCNNModel (Speech-CNN)

	- SpeechAndTextCombined (RNN-CNN-ensemble)

- results

	- Train results plot

	- Test output

Sample

	-random utterence list similarly ordered for Speech and text data

IMS Directory Structure

	-/mount/arbeitsdaten31/studenten1/deeplearning/2017/infy

	-train set (training batch)

	-test set (testing batch)

	-dev set (dev batch)

	-text (text inputs , glove)

	-model (saved model)

Instruction

	-Speech file main function contains two lines calling parameter for two functions, one is commented out

	-Ensemble file also follows the same

Dependency

	-Keras

	-Numpy

	-Panda

	-Gzip

	-tensorflow

	-matplotlib