瘦削
发表于 2025-3-21 19:15:23
书目名称Speech and Computer影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0874037<br><br> <br><br>书目名称Speech and Computer影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0874037<br><br> <br><br>书目名称Speech and Computer网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0874037<br><br> <br><br>书目名称Speech and Computer网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0874037<br><br> <br><br>书目名称Speech and Computer被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0874037<br><br> <br><br>书目名称Speech and Computer被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0874037<br><br> <br><br>书目名称Speech and Computer年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0874037<br><br> <br><br>书目名称Speech and Computer年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0874037<br><br> <br><br>书目名称Speech and Computer读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0874037<br><br> <br><br>书目名称Speech and Computer读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0874037<br><br> <br><br>
Hangar
发表于 2025-3-21 21:28:36
Multimodal Human-Robot Interaction from the Perspective of a Speech Scientistave been mostly constructed to work autonomously, the rise of service robots during the last 20 years has mostly contributed to the development of effective communication methods between human users and robots. This development has been even accelerated with the advancement of humanoid robots, where
弯曲道理
发表于 2025-3-22 03:19:43
A Decade of Discriminative Language Modeling for Automatic Speech Recognitiontive language model (DLM) is typically a linear or log-linear model consisting of a weight vector associated with a feature vector representation of a sentence. This flexible representation can include linguistically and statistically motivated features that incorporate morphological and syntactic i
RENAL
发表于 2025-3-22 07:10:29
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TEM
发表于 2025-3-22 11:00:21
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GNAW
发表于 2025-3-22 12:52:28
A Comparison of RNN LM and FLM for Russian Speech Recognitionspeech recognition and make a comparison of it with factored language model (FLM). We tried RNN with different number of units in the hidden layer. For FLM creation, we used five linguistic factors: word, lemma, stem, part-of-speech, and morphological tag. All models were trained on the text corpus
Modify
发表于 2025-3-22 20:56:22
A Frequency Domain Adaptive Decorrelating Algorithm for Speech Enhancementservations. The proposed FD-SAD is combined with the forward blind source separation (FBSS) structure to enhance the performances of the time-domain symmetric adaptive decorelating (TD-SAD) algorithm. The new FD-SAD algorithm shows a fast convergence speed and good tracking behaviour even in very no
顾客
发表于 2025-3-22 22:17:32
Acoustic Markers of Emotional State “Aggression”atar speech produced in the emotional state of aggression [.]. Issues concerning the selection of relevant features in studies of the type are described. It is pointed out that the emotional state of aggression, as a special case of emotional state of physiological excitation, is characterized by ac
JADED
发表于 2025-3-23 02:05:53
Algorithms for Low Bit-Rate Coding with Adaptation to Statistical Characteristics of Speech Signalstical characteristics of the coding parameters is set and accomplished. The main procedures of their forming are examined. The results of experimental studies of the developed adaptive low bit-rate coding algorithms are presented. The benefits of the quality of remade speech in comparison with algo
hysterectomy
发表于 2025-3-23 08:45:56
Analysing Human-Human Negotiations with the Aim to Develop a Dialogue Systemth a user in a natural language. Three sub-corpora have been analyzed: (1) telemarketing calls where a sales clerk of an educational company argues for taking a training course by a customer; (2) conversations between a travel agent and a customer who is planning a trip; and (3) everyday conversatio