Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Agrawal, Ruchit"'
Stuttering is a common speech impediment that is caused by irregular disruptions in speech production, affecting over 70 million people across the world. Standard automatic speech processing tools do not take speech ailments into account and are ther
Externí odkaz:
http://arxiv.org/abs/2407.11492
Autor:
Agrawal, Ruchit
Music can be represented in multiple forms, such as in the audio form as a recording of a performance, in the symbolic form as a computer readable score, or in the image form as a scan of the sheet music. Music synchronisation provides a way to navig
Externí odkaz:
http://arxiv.org/abs/2206.00454
Performance-score synchronization is an integral task in signal processing, which entails generating an accurate mapping between an audio recording of a performance and the corresponding musical score. Traditional synchronization methods compute alig
Externí odkaz:
http://arxiv.org/abs/2204.08822
The identification of structural differences between a music performance and the score is a challenging yet integral step of audio-to-score alignment, an important subtask of music information retrieval. We present a novel method to detect such diffe
Externí odkaz:
http://arxiv.org/abs/2102.00382
Autor:
Agrawal, Ruchit, Dixon, Simon
Audio-to-score alignment aims at generating an accurate mapping between a performance audio and the score of a given piece. Standard alignment methods are based on Dynamic Time Warping (DTW) and employ handcrafted features, which cannot be adapted to
Externí odkaz:
http://arxiv.org/abs/2011.07546
Autor:
Agrawal, Ruchit, Dixon, Simon
Audio-to-score alignment aims at generating an accurate mapping between a performance audio and the score of a given piece. Standard alignment methods are based on Dynamic Time Warping (DTW) and employ handcrafted features. We explore the usage of ne
Externí odkaz:
http://arxiv.org/abs/2007.14333
Recent approaches to the Automatic Post-editing (APE) of Machine Translation (MT) have shown that best results are obtained by neural multi-source models that correct the raw MT output by also considering information from the corresponding source sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::9261946649d4f80aefb127263ee4f632
http://books.openedition.org/aaccademia/3633
http://books.openedition.org/aaccademia/3633
Autor:
Abramova, Ekaterina, Adorni, Giovanni, Agrawal, Ruchit, Aina, Laura, Albanese, Teresa, Albanesi, Davide, Alzetta, Chiara, Amore, Matteo, Antonelli, Oronzo, Aprosio, Alessio Palmero, Balaraman, Vevake, Basile, Pierpaolo, Basile, Valerio, Basili, Roberto, Bassignana, Elisa, Bellandi, Andrea, Bentivogli, Luisa, Bernardi, Raffaella, Bertoldi, Nicola, Bondielli, Alessandro, Bos, Johan, Bosco, Cristina, Bottini, Roberto, Brunato, Dominique, Brunato⋄, Dominique, Büchler, Marco, Buono, Maria Pia di, Busso, Lucia, Cabrio, Elena, Caruso, Valeria, Caselli, Tommaso, Cecchini, Flavio, Celli, Fabio, Cervone, Alessandra, Chesi, Cristiano, Chingacham, Anupama, Chiriatti, Giulia, Cimino, Andrea, Cocciu•, Eleonora, Colla, Davide, Comandini, Gloria, Cordeiro, Silvio Ricardo, Crepaldi, Davide, Croce, Danilo, Curtoni, Paolo, Cutugno, Francesco, dell’Oglio, Pietro, Dell’Orletta, Felice, Dell’Orletta⋄, Felice, De Felice, Irene, De Martino, Maria, Dini, Luca, Di Iorio, Angelo, Di Nunzio, Giorgio Maria, Draetta, Lia, Ducceschi, Luca, Elia, Annibale, Falavigna, Daniele, Federico, Marcello, Feltracco, Anna, Fernández, Raquel, Ferro, Michele, Fieromonte, Martina, Franzini, Greta, Gagliardi, Gloria, Gala, Valentina Della, Gambi, Enrico, Ghezzi, Ilaria, Giovannetti, Emiliano, Gobbi, Jacopo, Gretter, Roberto, Guarasci, Raffaele, Guerini, Marco, Günther, Fritz, Gurevych, Iryna, Herzog, Leonardo, Jezek, Elisabetta, Koceva, Forsina, Lai, Mirko, Laudanna, Alessandro, Lenci, Alessandro, Lepri, Bruno, Liano, Annarita, Limpens, Freddy, Louvan, Samuel, Lyding, Verena, Magnini, Bernardo, Magnolini, Simone, Mairano, Paolo, Mambrini, Francesco, Mana, Dario, Mancuso, Azzurra, Marchi, Simone, Marelli, Marco, Marini, Costanza, Mazzei, Alessandro, McGregor, Stephen, Melnikova, Elena, Menini, Stefano, Mensa, Enrico, Merenda, Flavio, Mollo, Eleonora, Montemagni, Simonetta, Montemagni⋄, Simonetta, Monti, Johanna, Moretti, Giovanni, Moritz, Maria, Nadalini, Andrea, Negri, Matteo, Nicolas, Lionel, Nissim, Malvina, Novielli, Nicole, Okinina, Nadezda, Pannitto, Ludovica, Paperno, Denis, Passalacqua, Samuele, Passaro, Lucia C., Passarotti, Marco, Patti, Viviana, Pecchioli, Alessandra, Pellegrini, Matteo, Petrolito, Ruggero, Pettenati, Maria Chiara, Piantanida, Giovanni, Poggi, Isabella, Porporato, Aureliano, Quinci, Vito, Radicioni, Daniele P., Ramisch, Carlos, Rapp, Amon, Riccardi, Giuseppe, Rossini, Daniele, Rotondi, Agata, Ruffolo, Paolo, Russo, Irene, Sagri, Maria Teresa, Sangati, Federico, Sanguinetti, Manuela, Savary, Agata, Savy, Renata, Simeoni, Rossana, Simi, Maria, Sorgente, Antonio, Speranza, Manuela, Sprugnoli, Rachele, Stede, Manfred, Stepanov, Evgeny A., Stingo, Michele, Tamburini, Fabio, Tebbifakhr, Amirhossein, Tonelli, Sara, Torre, Ilaria, Tortoreto, Giuliano, Totis, Pietro, Trotta, Daniela, Turchi, Marco, Valeriani, Martina, Venturi, Giulia, Venturi⋄, Giulia, Vezzani, Federica, Villata, Serena, Vincze, Veronika, Zaghi, Claudia, Zovato, Enrico
On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-‐it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::2ad844b31ea5d8f6a497170256d7e794
http://books.openedition.org/aaccademia/2802
http://books.openedition.org/aaccademia/2802
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
A salient feature of Neural Machine Translation (NMT) is the end-to-end nature of training employed, eschewing the need of separate components to model different linguistic phenomena. Rather, an NMT model learns to translate individual sentences from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::426fd74af0caf4b5c48c19d4043a0478
http://hdl.handle.net/10045/76016
http://hdl.handle.net/10045/76016
Publikováno v:
FRPT- Automobile Snapshot. 12/11/2021, p6-6. 1/2p.