青年中文青年中文

speaker recognition的意思

speaker recognition中文翻譯:

說話人識別

相似詞語短語

speaker───n.(Speaker)人名;(英)斯皮克;n.演講者;揚聲器;說話者;說某種語言的人

recognition───n.識別;承認,認出;重視;贊譽;公認

bt speaker───藍牙揚聲器

recognition task───識別任務

recognition tool───識別工具

pattern recognition───[計]模式識別

louder speaker───更大聲的揚聲器

first speaker───第一個發言者

recognition pins───識別別針

雙語使用場景

This shows that the neural network is a potential method for speaker recognition.───這說明神經網絡對于說話人識別是一種很有潛力的方法。

Speaker recognition system source code integrity, and can be used directly.───說話人識別系統的源代碼完整,并可以直接使用。

SONAR both supports Automatic Speaker Recognition and Automatic Speech Recognition.───SONAR可同時支持說話人識別與語音識別。

Speaker recognition is an important part of the speech signal processing. It is one of the current research hotspots.───說話人識別是語音信號處理中的重要組成部分,是當前的研究熱點之一。

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)已廣泛地應用于文本無關的說話人識別系統,該方法具有簡單高效的特點。

One of the key problems is to find an efficient speaker characteristic parameter for the text-independent speaker recognition.───文本無關說話人識別的一個關鍵問題是尋求一種有效的說話人個性特征量。

This paper starts around the construction of Gauss Mixture Model (GMM) speaker recognition system.───本文構建了一個基于高斯混合模型的說話人識別系統。

Speech recognition includes speaker recognition, conjunction word recognition and isolated word recognition.───語音識別主要包括說話人識別、連接詞識別和孤立詞識別。

Speaker recognition, also known as voiceprint recognition, is a kind of technology using test voice to identify who the speaker is.───說話人識別,也稱為聲紋識別,是一種利用測試語音對說話人進行身份識別的認證技術。

英語使用場景

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.