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Artificial intelligence: introduction to basic concepts related to voiceprint
Artificial intelligence: introduction to basic concepts related to voiceprint
Today I will talk to you about the basic concepts related to voiceprint. I hope it will be helpful to you!
1. The concept of voiceprint
In real life, fingerprint recognition may be more common. Common usage scenarios include mobile phone fingerprint recognition, smart door fingerprint recognition, etc. So what is What about voiceprint?
Voiceprints can actually be used similarly to fingerprints in order to distinguish characteristics that are different from other people. Simply put, it is the characteristics that distinguish one person's voice from others.
2. Introduction to voiceprint recognition
Voiceprint recognition is a type of biometric technology and a category of speech recognition technology. Voiceprint recognition mainly includes two processes: voiceprint registration and voiceprint identification. To put it simply, voiceprint recognition is to convert human vocal signals into electrical signals, then perform feature extraction, modeling, and finally match judgment.
3. Comparison between voiceprint recognition and speech recognition
3.1 Common points
Both belong to the processing of voice front-end signals.
3.2 Differences
3.2.1 Speech recognition
The focus of speech recognition is to pursue the unity and universality of sound. This is also easy to understand. For example, speech-to-text, no matter your accent, dialect, or speaking speed, the final technology is to correctly translate into the same text; the same is true for the voice assistant that comes with the mobile phone, operating the mobile phone through voice commands , no matter where the mobile phone user is, they ultimately want to recognize it as a unified command, and then complete the corresponding mobile phone operations. Common ones include "open WeChat", "today's weather", "play music" and so on.
3.2.2 Voiceprint recognition
Voiceprint recognition pursues the personality of the voice, and mainly determines whether the voice source is the same person based on the expression in different scenes. For example, WeChat's own voice login system uses voiceprint recognition technology. First, personal voiceprint information is entered and registered, and then the voiceprint is determined when identity verification is needed in the future.
4. Application scenarios of voiceprint recognition
The application scenarios of voiceprint recognition mainly include voiceprint identification and voiceprint confirmation.
4.1 Voiceprint recognition
Voiceprint recognition is mainly used for voice retrieval and identification within the scope of the voice database, that is, to find the identity of the speaker in a massive voiceprint database. For example, in the financial sales field, the customer's voiceprint information can be compared with the historical voiceprint database, and then it can be determined whether the current customer is the first purchaser or has purchased before, so that the salesperson can adjust the corresponding sales strategy.
4.2 Voiceprint confirmation
Voiceprint confirmation is mainly used in identity authentication, security access verification and other scenarios. The system performs voice authentication on the speaker, so that the platform can confirm the identity of the authenticator. OK, voiceprint confirmation has higher requirements on the input quality of the voice. Generally, it will be authenticated only for some very important information, such as changing passwords, changing mobile phone numbers and other operations that require very high security.
The above is the detailed content of Artificial intelligence: introduction to basic concepts related to voiceprint. For more information, please follow other related articles on the PHP Chinese website!
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