"The name of the people" has ended, during the broadcast, the play has been well received. In addition to the twists and turns of the story plot, the drama is the biggest twists and turns of the public security organs case investigation process, but because the play involves corruption and bribery crimes, criminal cases, economic cases and a series of criminal incidents, complex relationships and stories The plot brought huge trouble to the investigation of the case.
The following scene, I believe we still have the impression:
In episode 21 of "The Name of the People," Hou Haoliang, director of the anti-corruption bureau and Zhao Donglai, director of the Beijing Public Security Bureau, conducted a study and analysis on Chen Hai's car accident in the boxing ring. Chen Hai received two reports before the accident Telephone, Jingzhou Public Security Bureau will be two phones by different technical departments conducted two appraisals, come to the voice of the two whistleblowers is not the same informant Cai Chenggong.
Obviously, the appraisal of the sound provided the public security organ with the key evidence and investigation directions for the investigation of the case.
With the development of science and technology, especially the continuous development of biotechnology and its wide application, biometrics such as face, fingerprints, palmprint and vocal print have become one of the important evidences for the detection of criminal cases by public security and judiciary. In the broadcast "The People's Name," the voice became an important clues to investigate the case of Chen Hai, former director of the Anti-Corruption Bureau of the Procuratorate of Hudong Province.
This technique of distinguishing identities by extracting speaker's voiceprint features is called voiceprint recognition and is especially suitable for situations where the client can not be seen in person.
How to identify the voiceprint identification speaker's identity?
It is well-known that each person's speech is the result of multi-cooperation of several organs of the nose, tongue, vocal tract and chest and lung. The unique voiceprint of different people's voice frequency, sound color, intonation and even accent, Sound length, sound intensity, pitch, etc., through the comparison of these special reconnaissance, so as to be able to achieve identity certification.
Voiceprint recognition process is through the recording device to convert the voice signal into electrical signals, and then use the signal processing algorithm to extract the above features, and then use the machine learning algorithm to identify the speaker's identity. This technology was first developed by Bell Laboratories in the late 1940s and was mainly used in the field of military intelligence during the war. The technology was very demanding. With the development of science and technology, the technology has been gradually applied to commercial applications such as case investigation and finance.
Voiceprint identification and identity security solutions provider SpeakIn (is bound to win technology) analysis introduced: "In the" people's name "story, the public security criminal investigators through the two telephone recordings of phonemes, compared to the two audio together Generally speaking, if there are 20 matching feature points in two audio segments, it can be inferred that the same person's voice, and vice versa is the voice of different people. This is Voiceprint authentication applications 1: 1 method of alignment ", its purpose is to confirm whether the voice comes from a person, that is, the speaker's confirmation.
In addition, in the field of voiceprint there is another way is through the 1: N way to contrast voiceprint, it is a voice of the voiceprint database and existing voiceprint data comparison, and then identify the most likely Speakers, in simple terms, judge who the voice is from, also known as speaker identification. This approach is widely used in the monitoring of key populations, the investigation of suspects and the identification of judicial evidence in cases.
SpeakIn said that in the past, the contrast of voiceprint recognition usually adopts manual experience, and usually takes half a day to a day to manually compare the audio of 2 to 15 minutes. Now using artificial intelligence, automated methods using machine learning, automated analysis through big data sample sequences, it takes just seconds to determine the result. More advanced technology, but also brought more efficient, intelligent, safe and reliable authentication services.
In fact, voiceprint identification has now become one of the key evidences used by the public security and judicial organs in examining and handling cases. As indicated by the comparative analysis and identification of voiceprint, the suspect can be locked out and searched out The suspects' gender, age, household registration and other important information provide clues for investigating the crime detection work, thus greatly improving the handling efficiency of public security organs and reducing the cost of handling cases.
Domestic voiceprint recognition startups have led the world
The accuracy of voiceprint identification is one of the most important indicators of voiceprint identification, the world's leading voiceprint technology vendors are constantly trying to enhance this indicator.
It is understood that the use of voice in the daily environment for registration and verification, SpeakIn's core algorithm has exceeded the 99.5% accuracy rate, reaching the world's leading level, which also marks SpeakIn voiceprint recognition technology to large-scale industry application. From the current academic papers published worldwide, there is currently no second enterprise voiceprint recognition algorithm to achieve this accuracy.
What is the origin of this company?
Founded in Silicon Valley, USA in 2015, SpeakIn is headquartered in Shenzhen. Based on the concept of "US technology, R & D in China and global market", SpeakIn has been providing solutions and services to the world and has applied in many fields.
It is learned that at present, SpeakIn has customized tailor-made identity security solutions based on voiceprint recognition for public security, financial and social security institutions and other well-known enterprises in various regions of the country and has implemented a variety of innovative industry applications to enhance the user's Safe experience
Xiao Bian also learned that, SpeakIn the core members of the team are from Harvard University, Massachusetts Institute of Technology, Hong Kong University of Science and Technology, Chinese University of Hong Kong, University of Science and Technology of China, Microsoft Research Asia and other top institutions of higher learning and research institutions, SpeakIn gathered A number of leading voice recognition algorithms and machine learning scientists and BAT from other well-known Internet companies such as product development team, both scientific research strength and product development capabilities, SpeakIn have been at the forefront.
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