Inoculare
发表于 2025-3-21 17:32:56
书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0831260<br><br> <br><br>书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0831260<br><br> <br><br>书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0831260<br><br> <br><br>书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0831260<br><br> <br><br>书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0831260<br><br> <br><br>书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0831260<br><br> <br><br>书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0831260<br><br> <br><br>书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0831260<br><br> <br><br>书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0831260<br><br> <br><br>书目名称Robust Adaptation to Non-Native Accents in Automatic Speech Recognition读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0831260<br><br> <br><br>
易于交谈
发表于 2025-3-21 23:33:55
http://reply.papertrans.cn/84/8313/831260/831260_2.png
绝缘
发表于 2025-3-22 04:14:22
http://reply.papertrans.cn/84/8313/831260/831260_3.png
dithiolethione
发表于 2025-3-22 06:30:09
Pre-processing of the Speech Data,rst,by using a microphone,the speech signal or speech waveform is converted into an electrical signal. Figure 3.1 shows a block diagram of a typical speech analysis procedure, generating . coefficients (MFCCs).The different steps are explained in the following sections.
cultivated
发表于 2025-3-22 11:04:10
Speaker Adaptation,rates than SI ones. If provided with the same amount of training data, they can achieve an average word error rate a factor of two or three lower than the SI system . But to train SD systems, large amounts of speaker specific speech data are needed and it is often not feasible to collect this
Engaged
发表于 2025-3-22 14:48:04
http://reply.papertrans.cn/84/8313/831260/831260_6.png
独白
发表于 2025-3-22 20:59:40
Pronunciation Adaptation,native data was proposed. It was shown that performance decreases if a recogniser that is optimised for native speech is exposed to non-native speech. Investigations on the ISLE database showed that including specialised non- native pronunciation variants in the dictionary can greatly improve the re
钳子
发表于 2025-3-23 00:53:10
http://reply.papertrans.cn/84/8313/831260/831260_8.png
大约冬季
发表于 2025-3-23 03:03:45
http://reply.papertrans.cn/84/8313/831260/831260_9.png
改正
发表于 2025-3-23 08:54:00
Phoneme Inventory,les (orthography and SAMPA transcription). Since some of the English phonemes do not exist in German a mapping to the phonetically closest German phoneme was necessary for some experiments.This mapping is given in the fourth coulmn in SectionC.2