WordNet is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet's structure makes it a useful tool for computational linguistics and natural language processing.

Multilingual speech-controlled telematics framework for personalised automotive services.

Development: BME TMIT Speech Laboratory Groups
In this project, BME TMIT handles the recognition of the user’s questions asked in a natural language, and the compiling of the system of answers appropriate for their geographical location. In the final product, the system will operate in six languages, in Hungarian, English, French, German, Italian and Spanish. The process handles data and voice connection in a unified manner. Conversation begins with the user’s request and ends with downloading the desired data. The questions are interpreted by a speech recognition framework. Should it fail, or be unable to serve the user’s request, a human operator takes over its role.

Partners:
Ygomi Europe Ltd., as the leader of the consortium is responsible for the elaboration of the whole project. The company takes an active part in the work of international standardisation associations. Ygomi participates in the work of Ertico, Europe's ITS (intelligent traffic systems) organization, which finances research and defines industrial standards in the field of intelligent transportation.
ROC Development Hungary Ltd. has had many years of experience in developing automatic software in the field of telecommunication, especially in the development of automatic communication protocols.

http://alpha.tmit.bme.hu/speech/research.php
https://www.tmit.bme.hu/labgroup/speech!hun
 

TéT – Balaton project  (208-2009)
Research and development: BME TMIT Laboratory of Speech Acoustics

One of the primary aims of the project is to improve computer assisted speech learning methods for handicapped children (hard of hearing and autistic children) by the introduction of prosody models. These models will firstly be used to develop the prosody of the speakers. Prosody plays an important role in communication. Prosodic cues help people understand messages through a conversation: thus the correct pronunciation of the different prosodic cues is very important. We will also use prosody to determine the emotional state of the speaker, which can be taken into account in the interface.

Partners:
The Institute of Intelligent Systems and Robotics ISIR CNRS FRE2507 (France) has wide experience in different classification techniques in speech technology. Moreover, the institute is conducting several projects involving normal and autistic children.

COST Action 2102 (2006-2011)
Research and development: BME TMIT Laboratory of Speech Acoustics

The main objective of the Action is to develop an advanced acoustical, perceptual and psychological analysis of verbal and non-verbal communication signals originating in spontaneous face-to-face interaction, in order to identify algorithms and automatic procedures capable of identifying human emotional states. Several key aspects will be considered, such as the integration of the developed algorithms and procedures for application in telecommunication; the recognition of emotional states, gestures, speech and facial expressions, in anticipation of the implementation of intelligent avatars and interactive dialogue systems that could be exploited to improve user access to future telecommunication services.