Examples of 'speaker recognition' in a sentence
Meaning of "speaker recognition"
speaker recognition: Refers to the process of identifying or verifying the identity of an individual based on their unique voice patterns or characteristics, often used in security systems or voice-controlled devices
How to use "speaker recognition" in a sentence
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speaker recognition
The present invention relates to speaker recognition.
Speaker recognition is a pattern recognition problem.
Speech recognition and speaker recognition are different terms.
Speaker recognition aids communication skills.
Automatic speech and speaker recognition.
Speaker recognition systems have two different applications.
Techniques for speaker recognition.
Speaker recognition is the identification of a person from characteristics of voices.
Feature extraction is an important step in an automatic speaker recognition system.
In speaker recognition the identity of the speaker is identified or verified.
Another possibility is speaker recognition.
In speech or speaker recognition each observation generally corresponds to a feature vector.
Bilingual advantage in speaker recognition.
Speaker recognition based on Neural Networks.
Estimation of reliability in speaker recognition.
See also
Two specific applications of a speaker recognition system are speaker verification and speaker identification.
This thesis presents a study on speech representation for speaker recognition systems.
Other applications include speaker recognition and online signature recognition.
It may then calculate the reliability of the result of the speaker recognition system.
Variants of speaker recognition.
The project team also made palpable progress on improving several aspects of speaker recognition.
There are two major applications of speaker recognition technologies and methodologies.
In a speaker recognition system, if the test utterance is corrupted by.
Categories of speaker recognition.
Speaker recognition may be performed either in real time or in non-real time.
But the development of speaker recognition tools was not always seamless.
Such a UBM may be the starting point of the speaker recognition system.
They confirm the uses of speaker recognition in counterterrorism operations and overseas drug busts.
Such transformed features are then used in a conventional speaker recognition comparison process.
A method of speaker recognition comprising the steps of,.
We first had been interested in methods from the Speaker Recognition and Verification field.
Speaker recognition captures the characteristics such as rhythm, pitch and frequency of each individual.
The term voice recognition can refer to speaker recognition or speech recognition.
Nowadays, many works and applications are developed focusing on computational speaker recognition.
The present invention utilizes a speaker recognition system which may be of any known construction.
The primary aim of the action is to improve the technology of speaker recognition by,.
Research activities into speaker recognition were initiated in early Eighties.
In general, such an ŝi may be a vector of scores from different speaker recognition systems.
In this section, we focus on the speaker recognition feature of our demonstrator.
Automatic speaker recognition can be classified into two tasks, speaker verification and identification.
Experience in speech and / or speaker recognition is a plus.
However, the speaker recognition function may also be utilized for user authentication in other services.
In one embodiment, a so-called text dependent speaker recognition or verification is performed.
Each speaker recognition system has two phases, Enrollment and verification.
In such systems, access is denied until a speaker recognition process is completed.
During the speaker recognition phase using the super-vector constructed during the recognition phase for a speaker I.
It remains effective for the case of text-independent speaker recognition or authentication.
Before the digital era, speaker recognition was primarily practiced as a forensic science.
Hidden Markov Models ( HMMs ) are a classic technology used for speech and speaker recognition.
Preferably, text dependent speaker recognition is executed for authenticating the user.
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