Federico Neri

Synthema, Lexical Systems Lab, PISA
 
Federico Neri is responsible for Business Intelligence in Synthema.
Born in 1967 and graduated in Physics in Pisa, he has been deeply involved in High Resolution Molecular Spectroscopy studies, with in-depth knowledge of microwave circuitry and lasers designing, with relevant skills gained on theoric models designing required to interpret experimental data.
In 1994 he is engaged as analyst by Synthema, a spin-off of IBM Research Center, and involved in the software development of Lexical systems. In 1995 he builds up a Decision Support System aimed to provide better services to citizen in the area of normative corpora. In 1996, he is involved in the project New Data Broadcasting Node with RAI as customer. In 1998 he participates to the development of italian version of Text Navigator, working in team with IBM-ECAM. Besides he provides customer based solutions and services in Text and Data Mining areas, being in charge for technical assistance to customers of IBM Technology Watch worldwide.
Since 2000 he has the technical resposibility on several reasearch funded projects: some concluded and ongoing projects are HERMES (an information delivery system based on Text Mining, Memory-based reasoning and Netcasting technologies), HERMES2 (Machine Learning and Text Mining as technologies for Knowledge Management tools development), WISPER (Worldwide Intelligent Semantic Patent Extraction & Retrieval).
In 2000 he has the technical resposibility for a pilot project named RAI VSBT (Voice SubTitling system). The system enables Speech Recognition; Morphological, Synctactic and Semantic analyses on detected texts; automatic text correction and automatic subtitle composition.

Federico Neri
Text Mining Solutions
Synthema - LEXICAL SYSTEMS LAB
Lungarno Mediceo 40 - I56127 Pisa - ITALY
Tel.:+39.050.3139.31,  Direct:+39.050.3139.331
Fax:+39.050.3139.321, Mobile:+39.348.9013667
http://www.synthema.it/textmining
mailto:neri@synthema.it

RAI VSBT: how the lexical approach can improve quality in Speech Recognition systems

• Synthema activities in voice recognition and speech synthesis
• VSBT: Speech Recognition
• VSBT: Morphological, analysis and Semantic analysis. Automatic text correction
• VSBT: Subtitle composition
• Next step: automatic text translation

Descrizione del progetto:

• PDF file (1 Mb)