This work is part of a big research project named "Oreillodule" aimed to develop tools for automatic speech recognition, translation, and synthesis for Arabic language. In this paper, our attention has mainly been focused on an attempt to present the semantic analyzer developed for the automatic comprehension of the standard spontaneous Arabic speech. We present a model of Arabic speech underst...

Use of Audio for Robotics Control 1 vii 1. 2. Human Mechanisms for Speech Generation and Recognition 8 2.1 Human Speech Production 8 2.2 Human Speech Recognition 10 3. The Automatic Isolated Word Recognition System 12 3.1 General Description 13 3.2 Feature Extraction 17 3.3 Data Compression and Normalization 27 3.4 Utterance Comparison and Classification 48 3.5 Organization and Operation 65 4. ...

Over the last decades it has become increasingly popular to adopt inspiration from knowledge on human language skills in applications within speech technology. It has proven to be successful in some aspects, such as signal processing in automatic speech recognition (ASR) but the overall performance is still far behind that of humans. Perhaps problems within speech technology can be solved with ...

Speech interfaces have become widely accepted and are nowadays integrated in various real-life applications and devices. They have become a part of our daily life. However, speech interfaces presume the ability to produce intelligible speech, which might be impossible due to either loud environments, bothering bystanders or incapabilities to produce speech (i.e., patients suffering from locked-...

Automatic recognition of spoken alphabets is one of the difficult tasks in the field of computer speech recognition. In this research, spoken Arabic alphabets are investigated from the speech recognition problem point of view. The system is designed to recognize an isolated whole-word speech. The Hidden Markov Model Toolkit (HTK) is used to implement the isolated word recognizer with phoneme ba...

Setup of an emotion recognition or emotional speech recognition system is directly related to how emotion changes the speech features. In this research, the influence of emotion on the anger and happiness was evaluated and the results were compared with the neutral speech. So the pitch frequency and the first three formant frequencies were used. The experimental results showed that there are lo...

setup of an emotion recognition or emotional speech recognition system is directly related to how emotion changes the speech features. in this research, the influence of emotion on the anger and happiness was evaluated and the results were compared with the neutral speech. so the pitch frequency and the first three formant frequencies were used. the experimental results showed that there are lo...

The paper begins by discussing the difficulties in obtaining repeatable results in speech recognition. Theoretical arguments are presented for and against copying human auditory properties in automatic speech recognition. The “standard” acoustic analysis for automatic speech recognition, consisting of melscale cepstrum coefficients and their temporal derivatives, is described. Some variations a...

It is a common belief in the speech community that the short-time phase spectrum plays very little (or, no) role in human perception tasks as well as in automatic speech recognition systems. In this paper, the usefulness of phase information is explored in human speech perception as well as in automatic speech recognition. Through human perception experiments, it is shown that the short-time ph...