A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks

05/21/2019
by   Md Iftekhar Tanveer, et al.
0

Automated prediction of public speaking performance enables novel systems for tutoring public speaking skills. We use the largest open repository---TED Talks---to predict the ratings provided by the online viewers. The dataset contains over 2200 talk transcripts and the associated meta information including over 5.5 million ratings from spontaneous visitors to the website. We carefully removed the bias present in the dataset (e.g., the speakers' reputations, popularity gained by publicity, etc.) by modeling the data generating process using a causal diagram. We use a word sequence based recurrent architecture and a dependency tree based recursive architecture as the neural networks for predicting the TED talk ratings. Our neural network models can predict the ratings with an average F-score of 0.77 which largely outperforms the competitive baseline method.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/21/2019

Predicting TED Talk Ratings from Language and Prosody

We use the largest open repository of public speaking—TED Talks—to predi...
research
02/28/2020

Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis

We aim to characterize how different speakers contribute to the perceive...
research
12/11/2020

Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public Speeches

The role of verbal and non-verbal cues towards great public speaking has...
research
09/22/2022

Predicting pairwise preferences between TTS audio stimuli using parallel ratings data and anti-symmetric twin neural networks

Automatically predicting the outcome of subjective listening tests is a ...
research
11/15/2018

HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty

The way we perceive a sound depends on many aspects-- its ecological fre...
research
01/08/2019

Fusion Strategies for Learning User Embeddings with Neural Networks

Growing amounts of online user data motivate the need for automated proc...
research
11/13/2022

Predicting Companies' ESG Ratings from News Articles Using Multivariate Timeseries Analysis

Environmental, social and governance (ESG) engagement of companies moved...

Please sign up or login with your details

Forgot password? Click here to reset