speaker recognition信息详情

speaker recognition发音

意思翻译

说话人识别

相似词语短语

speaker───n.(Speaker)人名;(英)斯皮克;n.演讲者;扬声器;说话者;说某种语言的人

recognition───n.识别;承认,认出;重视;赞誉;公认

bt speaker───蓝牙扬声器

recognition task───识别任务

recognition tool───识别工具

pattern recognition───[计]模式识别

louder speaker───更大声的扬声器

first speaker───第一个发言者

recognition pins───识别别针

双语使用场景

This shows that the neural network is a potential method for speaker recognition.───这说明神经网络对于说话人识别是一种很有潜力的方法。

Speaker recognition system source code integrity, and can be used directly.───说话人识别系统的源代码完整,并可以直接使用。

SONAR both supports Automatic Speaker Recognition and Automatic Speech Recognition.───SONAR可同时支持说话人识别与语音识别。

Speaker recognition is an important part of the speech signal processing. It is one of the current research hotspots.───说话人识别是语音信号处理中的重要组成部分,是当前的研究热点之一。

Gaussian mixture model(GMM) has been widely used for text-independent speaker recognition. This method has simple and efficient character.───高斯混合模型(GMM)已广泛地应用于文本无关的说话人识别系统,该方法具有简单高效的特点。

One of the key problems is to find an efficient speaker characteristic parameter for the text-independent speaker recognition.───文本无关说话人识别的一个关键问题是寻求一种有效的说话人个性特征量。

This paper starts around the construction of Gauss Mixture Model (GMM) speaker recognition system.───本文构建了一个基于高斯混合模型的说话人识别系统。

Speech recognition includes speaker recognition, conjunction word recognition and isolated word recognition.───语音识别主要包括说话人识别、连接词识别和孤立词识别。

Speaker recognition, also known as voiceprint recognition, is a kind of technology using test voice to identify who the speaker is.───说话人识别,也称为声纹识别,是一种利用测试语音对说话人进行身份识别的认证技术。

英语使用场景

Speaker recognition, also known as voiceprint recognition, is a kind of technology using test voice to identify who the speaker is.

In the SVM-based speaker recognition system study, it is important to obtain a ideal recognition rate.

SONAR both supports Automatic Speaker Recognition and Automatic Speech Recognition.

Speaker recognition is the most natural biometric identification technique. It can be divided into two sub-fields: speaker identification and speaker verification.

The thesis presents and implements a novel module - based Speaker recOgnitioN softwAre platfoRm ( SONAR ).

Using these characters, we have palmmprint recongnition, fingerprint recongnition, face recongnition, speaker recognition, iris recongnition, idiograph recongnition and so on.