We present our process for the development and analysis of a multilingual names corpus, called Multipron-split. It is derived from Multipron, a corpus collected in previous work [1], where names and speakers were drawn ...

We improve on a piece-wise linear model of the trajectories of Mel Frequency Cepstral Coefficients, which are commonly used as features in Automatic Speech Recognition. For this purpose, we have created a very clean ...

This paper compares the recognition accuracy of a phoneme-based automatic speech recognition system with that of a grapheme-based system, using Afrikaans as case study. The first system is developed using a conventional ...

Various factors influence the accuracy with which the language of individual words can be classified using n-grams. We consider a South African text-based language identification (LID) task and experiment with two different ...

This paper reports on the automatic alignment of audiobooks in Afrikaans. An existing Afrikaans pronunciation dictionary and corpus of Afrikaans speech data are used to generate baseline acoustic models. The baseline system ...

Smartphones provide an efficient means for the collection of speech data; however, the quality of the corpora created in this fashion is not predictable. We describe an approach that allows us to post-process and rank ...

Speech technologies have matured over the past few decades and have made significant impacts in a variety of fields, from assistive technologies to personal assistants. However, speech system development is a resource ...

We investigate the performance of conventional bandwidth estimators for non- parametric kernel density estimation on a number of representative pattern-recognition tasks, to gain a better understanding of the behaviour of ...

Mismatches between application and training data greatly reduce the performance of automatic speech recognition (ASR) systems. However, collecting suitable amounts of in-domain and application-specific data for training ...

We describe the integration of several tools to enable the end-to-end development of an Automatic Speech Recognition system in a typical under-resourced language. Google App Engine is employed as the core environment for ...