Marco Fratti

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7ranked-venue papers

3as first author

0since 2021 · last 1996

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 5 · 2 first-authorArtificial intelligence and machine learning · 4 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence

2 papers

Speech recognition and synthesis · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Natural language and speech › Speech recognition and synthesis speech coding	0.0	2	1996	On improving performance of analysis by synthesis speech coders · IEEE Trans. Speech Audio Process. 1996 An approach to parameter reoptimization in multipulse-based coders · IEEE Trans. Speech Audio Process. 1993
Natural language and speech › Speech recognition and synthesis › speech coding linear predictive coding	0.0	1	1993	An approach to parameter reoptimization in multipulse-based coders · IEEE Trans. Speech Audio Process. 1993

Methods — techniques the papers use, named apart from their topics

weighted mean squared error · 0.0excitation parameter optimization · 0.0LPC parameter optimization · 0.0

Year	Publication	Venue	Position
1996	On improving performance of analysis by synthesis speech coders abstract An algorithm for improving the performance of analysis-by-synthesis (A-by-S) speech coders is presented. It is shown that proper modifications of the A-by-S strategies commonly used to determine the excitation parameters can be devised. In particular, a redefinition of the classical objective function based on the weighted mean squared error criterion may allow a better tracking of the speech signal transients as well as a better alignment of the synthetic pitch pulses. The implementation details of the algorithm are discussed and experimental results are presented. Silvio Cucchi, Marco Fratti, M. Ronchi	IEEE Trans. Speech Audio Process.	2
1995	Very fast CELP coding using stochastic innovations Silvio Cucchi, Marco Fratti	EUROSPEECH	2
1993	An approach to parameter reoptimization in multipulse-based coders abstract An algorithm for LPC parameter optimization in multipulse (MP)-linear-prediction-coding (LPC)-based speech coders is presented. It is shown that by taking the nature of the MP excitation signal into account in the LPC parameter computation, it is possible to improve the effectiveness of the LPC model. This results in a better quality of the reconstructed signal in terms of both objective and subjective criteria. The implementation details of the algorithm are discussed, and experimental results are presented. In particular, a comparison with standard MP LPC techniques is given.> Marco Fratti, Gian Antonio Mian, Giuseppe Riccardi	IEEE Trans. Speech Audio Process.	1
1992	A novel architecture for VLSI implementation of the 2-D DCT/IDCT abstract The implementation of a 88 two-dimensional forward/inverse discrete cosine transform (DCT) chip is presented. The structure is highly regular and modular and the DCT computation is carried out using registers and adders only. A fully pipelined structure based on a new approach for serial arithmetic computation allows a high throughput capability (i.e., up to 40 MHz). The chip is fully functional and is being employed in the Alcatel Telettra HDTV (high definition television) codec. Fabricated in 1 eta m double-metal CMOS technology by LSI Logic, the chip uses approximately 57000 transistors which occupy a 218-pad die area of 8.6 mm8.6 mm (56 pads are used).> Silvio Cucchi, Marco Fratti	ICASSP	2
1992	On the effectiveness of parameter reoptimization in multipulse based coders abstract An algorithm for LPC (linear predictive coding) parameter optimization in multipulse (MP)-LPC based speech coders is presented. It is shown that, by taking into account the nature of the MP-excitation signal into LPC parameter computation, it is possible to improve the effectiveness of the LPC model. This results in a better quality of the reconstructed signal in terms both of objective and subjective criteria. The implementation details of the algorithm are discussed and experimental results are presented. In particular a comparison with standard MP-LPC techniques is given.> Marco Fratti, Gian Antonio Mian, Giuseppe Riccardi	ICASSP	1
1991	Pitch estimation based on a "narrowed" autocorrelation function Neviano Dal Degan, Marco Fratti	EUROSPEECH	2
1990	A new iterative algorithm for minimum-phase signal reconstruction from its autocorrelation abstract An iterative algorithm for minimum (maximum) phase signal reconstruction from its autocorrelation is presented. The algorithm is an extension of previous work by Quatieri and Oppenheim (1981). In particular, a good convergence speed is obtained even with no prior information on the first sample value of the signal to be reconstructed. A double time-domain constraint is imposed, and the knowledge of the autocorrelation function in both the time and the frequency domain is exploited. The algorithm shows a good convergence. However, it has two drawbacks: phase unwrapping must be performed at each iteration, and care must be taken in choosing the startup sequence for the iteration initialization.> Marco Fratti	ICASSP	1