Matches in SemOpenAlex for { <https://semopenalex.org/work/W2509598957> ?p ?o ?g. }
- W2509598957 abstract "Abstract Accurate estimation of acoustic speech features from noisy speech and from different speakers is an ongoing problem in speech processing. Many methods have been proposed to estimate acoustic features but errors increase as signal-to-noise ratios fall. This work proposes a robust statistical framework to estimate an acoustic speech vector (comprising voicing, fundamental frequency and spectral envelope) from an intermediate feature that is extracted from a noisy time-domain speech signal. The initial approach is accurate in clean conditions but deteriorates in noise and with changing speaker. Adaptation methods are then developed to adjust the acoustic models to the noise conditions and speaker. Evaluations are carried out in stationary and nonstationary noises and at SNRs from −5 dB to clean conditions. Comparison with conventional methods of estimating fundamental frequency, voicing and spectral envelope reveals the proposed framework to have lowest errors in all conditions tested." @default.
- W2509598957 created "2016-09-16" @default.
- W2509598957 creator A5018475330 @default.
- W2509598957 creator A5023076395 @default.
- W2509598957 date "2017-03-01" @default.
- W2509598957 modified "2023-10-08" @default.
- W2509598957 title "Estimating acoustic speech features in low signal-to-noise ratios using a statistical framework" @default.
- W2509598957 cites W103244930 @default.
- W2509598957 cites W1495679096 @default.
- W2509598957 cites W1502469360 @default.
- W2509598957 cites W1519570295 @default.
- W2509598957 cites W1519698338 @default.
- W2509598957 cites W1875231349 @default.
- W2509598957 cites W1951264251 @default.
- W2509598957 cites W1966264494 @default.
- W2509598957 cites W1970763740 @default.
- W2509598957 cites W1974387177 @default.
- W2509598957 cites W1982456116 @default.
- W2509598957 cites W1982704580 @default.
- W2509598957 cites W1990449877 @default.
- W2509598957 cites W2006051038 @default.
- W2509598957 cites W2021080905 @default.
- W2509598957 cites W2026233635 @default.
- W2509598957 cites W2045036776 @default.
- W2509598957 cites W2060888333 @default.
- W2509598957 cites W2074086498 @default.
- W2509598957 cites W2090861223 @default.
- W2509598957 cites W2091425152 @default.
- W2509598957 cites W2100140000 @default.
- W2509598957 cites W2100969003 @default.
- W2509598957 cites W2103941300 @default.
- W2509598957 cites W2106214098 @default.
- W2509598957 cites W2113751256 @default.
- W2509598957 cites W2118633472 @default.
- W2509598957 cites W2120011474 @default.
- W2509598957 cites W2121973264 @default.
- W2509598957 cites W2126597753 @default.
- W2509598957 cites W2128367393 @default.
- W2509598957 cites W2130722890 @default.
- W2509598957 cites W2134025364 @default.
- W2509598957 cites W2146064606 @default.
- W2509598957 cites W2148154194 @default.
- W2509598957 cites W2149535104 @default.
- W2509598957 cites W2150026426 @default.
- W2509598957 cites W2151572393 @default.
- W2509598957 cites W2153894152 @default.
- W2509598957 cites W2155998647 @default.
- W2509598957 cites W2158336491 @default.
- W2509598957 cites W2158849374 @default.
- W2509598957 cites W2168790345 @default.
- W2509598957 cites W2172485033 @default.
- W2509598957 cites W2282568441 @default.
- W2509598957 cites W2395578248 @default.
- W2509598957 cites W2396358341 @default.
- W2509598957 cites W26405188 @default.
- W2509598957 cites W3152128808 @default.
- W2509598957 cites W643963074 @default.
- W2509598957 cites W67702164 @default.
- W2509598957 cites W976490810 @default.
- W2509598957 doi "https://doi.org/10.1016/j.csl.2016.08.001" @default.
- W2509598957 hasPublicationYear "2017" @default.
- W2509598957 type Work @default.
- W2509598957 sameAs 2509598957 @default.
- W2509598957 citedByCount "0" @default.
- W2509598957 crossrefType "journal-article" @default.
- W2509598957 hasAuthorship W2509598957A5018475330 @default.
- W2509598957 hasAuthorship W2509598957A5023076395 @default.
- W2509598957 hasBestOaLocation W25095989572 @default.
- W2509598957 hasConcept C100675267 @default.
- W2509598957 hasConcept C115961682 @default.
- W2509598957 hasConcept C121332964 @default.
- W2509598957 hasConcept C154945302 @default.
- W2509598957 hasConcept C19118579 @default.
- W2509598957 hasConcept C199360897 @default.
- W2509598957 hasConcept C24890656 @default.
- W2509598957 hasConcept C2779843651 @default.
- W2509598957 hasConcept C28490314 @default.
- W2509598957 hasConcept C31972630 @default.
- W2509598957 hasConcept C41008148 @default.
- W2509598957 hasConcept C54926389 @default.
- W2509598957 hasConcept C552089266 @default.
- W2509598957 hasConcept C554190296 @default.
- W2509598957 hasConcept C61328038 @default.
- W2509598957 hasConcept C65155139 @default.
- W2509598957 hasConcept C76155785 @default.
- W2509598957 hasConcept C99498987 @default.
- W2509598957 hasConceptScore W2509598957C100675267 @default.
- W2509598957 hasConceptScore W2509598957C115961682 @default.
- W2509598957 hasConceptScore W2509598957C121332964 @default.
- W2509598957 hasConceptScore W2509598957C154945302 @default.
- W2509598957 hasConceptScore W2509598957C19118579 @default.
- W2509598957 hasConceptScore W2509598957C199360897 @default.
- W2509598957 hasConceptScore W2509598957C24890656 @default.
- W2509598957 hasConceptScore W2509598957C2779843651 @default.
- W2509598957 hasConceptScore W2509598957C28490314 @default.
- W2509598957 hasConceptScore W2509598957C31972630 @default.
- W2509598957 hasConceptScore W2509598957C41008148 @default.
- W2509598957 hasConceptScore W2509598957C54926389 @default.
- W2509598957 hasConceptScore W2509598957C552089266 @default.
- W2509598957 hasConceptScore W2509598957C554190296 @default.