Search Results for author:
Found 6 papers, 0 papers with code
An enhanced automatic speech recognition system for Arabic
Despite all the classical techniques for Automatic Speech Recognition (ASR), which can be efficiently applied to Arabic speech recognition, it is essential to take into consideration the language specificities to improve the system performance.
Weakly-supervised text-to-speech alignment confidence measure
This work proposes a new confidence measure for evaluating text-to-speech alignment systems outputs, which is a key component for many applications, such as semi-automatic corpus anonymization, lips syncing, film dubbing, corpus preparation for speech synthesis and speech recognition acoustic models training.
The IFCASL Corpus of French and German Non-native and Native Read Speech
The IFCASL corpus is a French-German bilingual phonetic learner corpus designed, recorded and annotated in a project on individualized feedback in computer-assisted spoken language learning.
Designing a Bilingual Speech Corpus for French and German Language Learners: a Two-Step Process
We present the design of a corpus of native and non-native speech for the language pair French-German, with a special emphasis on phonetic and prosodic aspects.
CoALT: A Software for Comparing Automatic Labelling Tools
In this paper, we propose a GPL software CoALT (Comparing Automatic Labelling Tools) for comparing two automatic labellers or two speech-text alignment tools, ranking them and displaying statistics about their differences.
