Skip to main content    

An official website of the United States government

Here’s how you know

**Official websites use .gov**              A **.gov** website belongs to an official government organization in the United States.            

**Secure .gov websites use HTTPS**              A **lock** (  LockA locked padlock) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.            

https://www.nist.gov/itl/iad/mig/human-assisted-speaker-recognition

            -  Topics  -  All Topics 
-  Advanced communications 
-  Artificial intelligence 
-  Bioscience 
-  Buildings and construction 
-  Chemistry 
-  Climate 
-  Cybersecurity 
-  Electronics 
-  Energy 
-  Environment 
-  Fire 
-  Forensic science 
-  Health 
-  Information technology 
-  Infrastructure 
-  Manufacturing 
-  Materials 
-  Mathematics and statistics 
-  Metrology 
-  Nanotechnology 
-  Neutron research 
-  Performance excellence 
-  Physics 
-  Public safety 
-  Resilience 
-  Standards 
-  Transportation 
 
            -  Publications 
            -  Labs & Major Programs  -  Laboratories    -  Communications Technology Laboratory 
  -  Engineering Laboratory 
  -  Information Technology Laboratory 
  -  Material Measurement Laboratory 
  -  Physical Measurement Laboratory 
-  User Facilities    -  NIST Center for Neutron Research 
  -  CNST NanoFab 
-  Research Test Beds 
-  Research Projects 
-  Tools & Instruments 
-  Major Programs    -  Baldrige Performance Excellence Program 
  -  CHIPS for America Initiative 
  -  Manufacturing Extension Partnership (MEP) 
  -  Office of Advanced Manufacturing 
  -  Special Programs Office 
  -  Technology Partnerships Office 
 
            -  Services & Resources  -  Standards and Measurements    -  Calibration Services 
  -  Laboratory Accreditation (NVLAP) 
  -  Quality System 
  -  Standard Reference Materials (SRMs) 
  -  Standards.gov 
  -  Time Services 
  -  Office of Weights and Measures 
-  Software 
-  Data    -  Chemistry WebBook 
  -  National Vulnerability Database 
  -  Physical Reference Data 
  -  Standard Reference Data (SRD) 
-  Storefront 
-  License & Patents 
-  Computer Security Resource Center (CSRC) 
-  NIST Research Library 
 
            -  News & Events  -  News 
-  Events 
-  Blogs 
-  Feature Stories 
-  Awards 
-  Video Gallery 
-  Image Gallery 
-  Media Contacts 
 
            -  About NIST  -  About Us    -  Leadership 
  -  Organization Structure 
  -  Budget & Planning 
-  Contact Us 
-  Visit 
-  Careers    -  Student programs 
-  Work with NIST 
-  History    -  NIST Digital Archives 
  -  NIST Museum 
  -  NIST and the Nobel 
-  Educational Resources 
 

Information Technology LaboratoryInformation Access Division

## Multimodal Information Group

-  Tools 
-  Past HLT Evaluation Projects 
-  Staff 

# Human Assisted Speaker Recognition

## Share

Facebook

Linkedin

Twitter

Email

### Summary:

The goal of the NIST Human Assisted Speaker Recognition (HASR) Evaluation series is to contribute to the direction of research efforts that begin to address the question: "How can human experts effectively utilize automatic speaker recognition technology?", and to begin addressing issues that are important for forensic applications.

The HASR task is: Given two different speech segments determine whether they are both spoken by the same speaker, utilizing any approach and any combination of human experts and technology.

### Description:

The 2010 SRE evaluation (SRE10) included a test of Human Assisted Speaker Recognition (HASR), in which systems based, in whole or in part, on human expertise were evaluated. Participants were invited to complete the trials in one of two small subsets of the full set of trials included in the core test of the main automatic system evaluation.  In a typical HASR test, each participating organization downloaded the audio data for a single trial, used their method for speaker detection on the data, and then uploaded their response to an automated system that provided the audio for the next trial.  The NIST HASR test invites voice practitioners to participate and to contribute to the further refinement of the evaluation process.  HASR evaluations have a tremendous potential to contribute to the development of the best practices and advances to the measurement science in support of voice biometrics and forensics.

An abridged version of a HASR presentation, including results, given at the 2010 Odyssey conference in Brno is available here . 

In 2012 a follow-on test confirmed the 2010 findings that combining human expertise with automatic systems to perform speaker detection poses a substantial challenge, and further research is necessary to improve the state-of-the-art in this important area.

Plans for future NIST HASR research and evaluations are ongoing.

[ 2010 ]

Forensic ScienceInformation technologyBiometricsData and informaticsWireless (RF)Mathematics and statisticsMetrology

### HEADQUARTERS

301-975-2000

Webmaster | Contact Us | Our Other Offices

TwitterFacebookLinkedInInstagramYouTubeGiphyRSS FeedMailing List

Feedback

            -  Site Privacy 
            -  Accessibility 
            -  Privacy Program 
            -  Copyrights 
            -  Vulnerability Disclosure 
            -  No Fear Act Policy 
            -  FOIA 
            -  Environmental Policy 
            -  Scientific Integrity 
            -  Information Quality Standards 
            -  Commerce.gov 
            -  Science.gov 
            -  USA.gov 
            -  Vote.gov