Foreign Accent Classification

FOREIGN ACCENT CLASSIFICATION USING SOURCE GENERATOR BASED PROSODIC FEATURES - Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Speaker accent is an important issue in the formulation of robust speaker independent recognition systems. Knowledge gained from a reliable accent classification approach could improve overall recognition performance. In this paper, a new algorithm is proposed for foreign accent classification of American English. A series of experimental studies are considered which focus on establishing how s...

Boosting universal speech attributes classification with deep neural network for foreign accent characterization

We have recently proposed a universal acoustic characterisation to foreign accent recognition, in which any spoken foreign accent was described in terms of a common set of fundamental speech attributes. Although experimental evidence demonstrated the feasibility of our approach, we belive that speech attributes, namely manner and place of articulation, can be better modelled by a deep neural ne...

Foreign accent classification using source generator based prosodic features

Source Generator Based Prosodic Features John H.L. Hansen and Levent M. Arslan Robust Speech Processing Laboratory Duke University Department of Electrical Engineering Box 90291, Durham, North Carolina 27708-0291 ABSTRACT Speaker accent is an important issue in the formulation of robust speaker independent recognition systems. Knowledge gained from a reliable accent classi cation approach could...

Automatic accent classification of foreign accented australian English speech

English speech based on accent dependent parallel phoneme recognition (PPR) has been developed. The classifier is designed to process continuous speech and to discriminate between native Australian English (AuE) speakers and two migrant speaker groups with foreign accents, whose first languages are Lebanese Arabic (LA) and South Vietnamese (SV). The training of the system can be automated and i...

Foreign accent detection from spoken Finnish using i-vectors

I-vector based recognition is a well-established technique in state-of-the-art speaker and language recognition but its use in dialect and accent classification has received less attention. We represent an experimental study of i-vector based dialect classification, with a special focus on foreign accent detection from spoken Finnish. Using the CallFriend corpus, we first study how recognition ...

A Computational Approach to Foreign Accent Classification