01393nam0 2200313 i 450 VAN005403820240130091832.316978-88-371-0374-320061003d1986 |0itac50 baitaIT|||| |||||Alcuni metodi matematici nella teoria dei sistemi lineari di controlloL. PandolfiBolognaPitagora1986XII, 295 p.24 cm001VAN00492502001 Quaderni dell'Unione matematica italiana210 BolognaPitagora3293B10Canonical structure [MSC 2020]VANC023332MF93B27Geometric methods [MSC 2020]VANC024190MF93C05Linear systems in control theory [MSC 2020]VANC024281MF93-XXSystems theory; control [MSC 2020]VANC027040MFBolognaVANL000003PandolfiLucianoVANV03629842386Pitagora <editore>VANV108147650ITSOL20240202RICABIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08VAN0054038BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08PREST 93-XX 3155 08 2184 I 20061003 Alcuni metodi matematici nella teoria dei sistemi lineari di controllo104477UNICAMPANIA01475nam 2200325z- 450 991034692280332120210212(CKB)4920000000101294(oapen)https://directory.doabooks.org/handle/20.500.12854/58557(oapen)doab58557(EXLCZ)99492000000010129420202102d2009 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRobust automatic transcription of lecturesKIT Scientific Publishing20091 online resource (XXVI, 173 p. p.)3-86644-394-3 Automatic transcription of lectures is becoming an important task. Possible applications can be found in the fields of automatic translation or summarization, information retrieval, digital libraries, education and communication research. Ideally those systems would operate on distant recordings, freeing the presenter from wearing body-mounted microphones. This task, however, is surpassingly difficult, given that the speech signal is severely degraded by background noise and reverberation.automatic speech recognitionfeature enhancementspeech signal processingWölfel Matthiasauth1117265BOOK9910346922803321Robust automatic transcription of lectures3025752UNINA