APPLICATIONS

Police and other law enforcement agencies: Identification of suspected criminals by voice.

Anti-terrorist organizations: Identifying voices of terrorist recordered from phone calls.

Forensic labs: Storage and quick identification of speech samples.

HIGHLIGHTS

• 2 independent identification methods:
  • spectrum-formant (FFT)
  • pitch curve statistics comparison
• Effective for real signals, containing natural speech and telephone channel distortions
• Works with low quality speech signals
• Automatic identification does not require special user skills
• Language-independent (the speaker’s voice can be identified in any language he speaks)
• Standard DBMS allows external database import
• Any additional personal data (photos, fingerprints etc.) can be stored in the same database
• Available as SDK for software developers

SYSTEM DELIVERY

VoiceNet system includes one or more PCs connected via local network (LAN/WAN). The software consists of several independent modules located on client and server PCs:

• SpeechMarker – speech signal segmentation software
• FormBuilder – database creation, structure editing and access management software
• VoiceNetServer – database server and processing application
• VoiceNetOperator – database client software

SOURCE SIGNAL REQUIREMENTS

• Signal format - 16 bit PCM
• 8 000 or 11 025 Hz sampling rate
• Signal frequency band - 300...3400 Hz or better
• 10 dB or better SNR
• Speech duration for pair comparison - at least 16 seconds for each fragment

NEW FEATURES

• Additional speaker identification method – by pitch statistics
• New DB import/export tools for convenient data exchange
• User adjustable graphical interface
• Faster calculations and result output