The acoustic-modeling problem in automatic speech recognition
The acoustic-modeling problem in automatic speech recognition
Using correlation dimension for analysing text data
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Class visualization of high-dimensional data with applications
Computational Statistics & Data Analysis
Hi-index | 0.00 |
Automatic recognition of spoken letters is one of the most challenging tasks in the field of computer speech recognition. The difficulty of the task is due to the acoustic similarity of many of the letters. Accurate recognition requires the system to perform fine phonetic distinctions, such as B vs. D, B vs. P, D vs. T, T vs. G, C vs. Z, V vs. Z, M vs. N and J vs. K. The ability to perform fine phonetic distinctions---to discriminate among the minimal sound units of the language---is a fundamental unsolved problem in computer speech recognition.