Automatic speech recognition (ASR) is under constant development, especially in cases when speech is casually produced or it is acquired in various environment conditions, or in the presence of background noise. Phonetic transcription is an important step in the process of full speech recognition and is discussed in the presented work as the main focus in this process. ASR is widely implemented in mobile devices technology, but the need is also encountered in applications such as automatic recognition of speech in movies for non-native speakers, for impaired users, and as a support for multimedia systems. This work contains an attempt to analyze speech recorded in various conditions. First, audio and video recordings of specially constructed list of words in English were prepared in order to perform dedicated audio and video analyses in the future stages of the research aiming at audio-visual speech recognition systems (AVSR) development. A dataset of audio-video recordings was prepared and examples of analyses are described in the paper.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.