搜索结果: 1-14 共查到“理论语言学 speaker recognition”相关记录14条 . 查询时间(0.264 秒)
Integration of Speaker Recognition into Conversational Spoken Dialogue Systems
Speaker Recognition Conversational Spoken Dialogue Systems
2015/3/11
Integration of Speaker Recognition into Conversational Spoken Dialogue Systems.
An i-Vector Extractor Suitable for Speaker Recognition with Both Microphone and Telephone Speech
Speaker Recognition Both Microphone
2015/3/10
An i-Vector Extractor Suitable for Speaker Recognition with Both Microphone and Telephone Speech.
The MIT LL 2010 Speaker Recognition Evaluation System: Scalable Language-Independent Speaker Recognition
Speaker Recognition Evaluation System Scalable Language-Independent Speaker Recognition
2015/3/9
The MIT LL 2010 Speaker Recognition Evaluation System: Scalable Language-Independent Speaker Recognition.
Graph Relational Features for Speaker Recognition and Mining
Speaker Recognition Speaker Mining
2015/3/9
Graph Relational Features for Speaker Recognition and Mining.
Unsupervised Domain Adaptation for I-Vector Speaker Recognition
Domain Adaptation I-Vector Speaker Recognition
2015/3/9
Unsupervised Domain Adaptation for I-Vector Speaker Recognition.
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems
Speaker Recognition Systems Domain Adaptation
2015/3/9
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems.
Limited Labels for Unlimited Data: Active Learning for Speaker Recognition
speaker recognition i-vectors active learning
2015/3/9
Limited Labels for Unlimited Data: Active Learning for Speaker Recognition.
Vowel-Category based S hort Utterance Speaker Recognition
Short Utterance Speaker Recognition Vowel Categories Universal Background Vowel Category Model
2013/6/28
The impact of Short Utterances in Speaker Recognition is of significant importance. Despite the advancements in short utterance speaker recognition (SUSR), text dependence and the role of phonemes in ...
Short Utterance Speaker Recognition---A research Agenda
Short Utterance Speaker Recognition Prosodic Speaker Recognition Phoneme Categories
2013/6/28
Short Utterance Speaker Recognition (SUSR) is an important area of speaker recognition when only small amount of speech data is available for testing and training. We list the most commonly used state...
A Multi-Model Method for Short-Utterance Speaker Recognition
Multi-Model Method Short-Utterance Speaker Recognition
2013/6/28
The length of the test speech greatly influences the performance of GMM-UBM based text-independent speaker recognition system, for example when the length of valid speech is as short a...
A Universal Phoneme-Set Based Language Independent Short Utterance Speaker Recognition
Speaker Recognition Short Utterance Phoneme Set Universal Background Phoneme-set Model
2013/6/28
In the field of speaker recognition, short utterance speaker recognition (SUSR) has been attracting more and more attention in recent years. Despite the advancement in this technology and use ...
Emotion Attribute Projection for Speaker Recognition on Emotional Speech
speaker recognition emotional speech emotion attribute projection fusion
2013/6/28
Emotion is one of the important factors that cause the system performance degradation. By analyzing the similarity between channel effect and emotion effect on speaker recognition, an emotion compensa...
COHORT-BASED SPEAKER MODEL SYNTHESIS FOR CHANNEL ROBUST SPEAKER RECOGNITION
COHORT-BASED SPEAKER MODEL SYNTHESIS CHANNEL ROBUST SPEAKER RECOGNITION
2013/6/28
Speaker recognition over a public telephone network involves various types of transmission channels and handsets, which leads to mismatched channels (between the enrolled models and the test utterance...
Speech Unit Category based Short Utterance Speaker Recognition
Short Utterance Speaker Recognition Vowel Categories Universal Background Vowel Category Model.
2013/6/28
Information of speech units like vowels, consonants and syllables can be a kind of knowledge used in text-independent Short Utterance Speaker Recognition (SUSR) in a similar way...