Alberto Ciaramella

ORCID: 0000-0003-3908-9738
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About
Contact & Profiles
Research Areas
  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Advanced Data Compression Techniques
  • Speech and dialogue systems
  • Biomedical Text Mining and Ontologies
  • Topic Modeling
  • Intellectual Property and Patents
  • Semantic Web and Ontologies
  • Wireless Communication Networks Research
  • Cloud Data Security Solutions
  • Blockchain Technology Applications and Security
  • Music and Audio Processing
  • Private Equity and Venture Capital
  • Blind Source Separation Techniques
  • Scientific Computing and Data Management
  • Advanced Adaptive Filtering Techniques
  • Advanced Computational Techniques and Applications
  • Service-Oriented Architecture and Web Services
  • Algorithms and Data Compression
  • Big Data and Business Intelligence

Ospedale di Rivoli
2021

Intel (United States)
2019

Telecom Italia Lab
1985-2005

The development of spoken dialogue systems (SDSs) requires the definition evaluation metrics which can assess performance these at different levels and compare various SDSs. authors present a first test, made with naive users, on an integrated system for telephone speech access to remote data base. They describe architecture as well goals its features, methodology used during evaluation, results obtained. SDS is shown be effective providing user required information. presence spontaneous...

10.1109/icassp.1993.319250 article EN IEEE International Conference on Acoustics Speech and Signal Processing 1993-01-01

The paper is a survey of the speech technologies and applications developed at CSELT, some which are employed in real services on Italian telephone network. This represents major extension from previous activity centre, was essentially oriented to research, now broader set activities range defining experimenting new algorithmic approaches product engineering application development. In particular describes two field trial phase, one related an automatic operator, providing voice selection...

10.1109/ivtta.1994.341547 article EN 2002-12-17

Here we describe the firmware implementation of an acoustical front-end, performing vector quantization Discrete Cosine Transform (DCT) for a speech recognition system. This runs on single TMS32020 signal processor chip and is characterized both by substantial real time performance good accuracy.

10.1109/icassp.1987.1169338 article EN 2005-03-24

First Page

10.1121/1.399368 article EN The Journal of the Acoustical Society of America 1990-04-01
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