Automatic speech recognition in a noisy automotive environment

Automatic speech recognition in a noisy environment

Speech recognition in the noisy car environment

Adaptation and use of an algorithm for recognition of connected words in an application for mobile radio telephony is described. Two data bases were collected in a compact car running about 120 km/h containing speech uttered via handset and in hands-free mode for each 10 speakers. In the first phase, a connected-words recognition algorithm was improved using the handset data base. Starting with...

A Hybrid Method for Automatic Speech Recognition Performance Improvement in Real World Noisy Environment

It is a well known fact that, speech recognition systems perform well when the system is used in conditions similar to the one used to train the acoustic models. However, mismatches degrade the performance. In adverse environment, it is very difficult to predict the category of noise in advance in case of real world environmental noise and difficult to achieve environmental robustness. After do...

Hands-Free Speech Recognition In A Noisy And Reverberant Environment

Speech recognition for interaction with a robot in noisy environment

One of the main problems with speech recognition for robots is noise. In this paper we propose two methods to enhance the robustness of continuous speech recognition in noisy environment. We show that the accuracy of recognition can be improved by better weighting the language model in the decision process. The second proposed method is based on language model adaptation. The experiments showed...