conftrace_

2017 Interspeech INTERSPEECH 2017

Reading Validation for Pronunciation Evaluation in the Digitala Project

Abstract

We describe a recognition, validation and segmentation system as an intelligent preprocessor for automatic pronunciation evaluation. The system is developed for large-scale high stake foreign language tests, where it is necessary to reduce human workload and ensure fair evaluation.

📈 Trend Setter - Speech Recognition

🐣 Hot Topic Early Bird - automatic evaluation

Authors

Aku Rouhe, Reima Karhila, Peter Smit, Mikko Kurimo

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Learning Types > Weakly Supervised Learning Machine Learning > Application Areas > Domain Adaptation Artificial Intelligence > Core AI > Speech Recognition

Keywords

speech recognition automatic evaluation pronunciation evaluation

More from Interspeech 2017

All Interspeech 2017 papers →

“Did you laugh enough today?” — Deep Neural Networks for Mobile and Wearable Laughter Trackers

Low-Frequency Ultrasonic Communication for Speech Broadcasting in Public Transportation

Real-Time Speech Enhancement with GCC-NMF: Demonstration on the Raspberry Pi and NVIDIA Jetson

Conversing with Social Agents That Smile and Laugh

Team ELISA System for DARPA LORELEI Speech Evaluation 2016

First Results in Developing a Medieval Latin Language Charter Dictation System for the East-Central Europe Region