The Speech Analytics Suite is an AI-powered solution designed for investigative and intelligence purposes. It enables national intelligence agencies, government ministries, and law enforcement agencies to identify, extract, and analyze valuable insights from audio and video data. The system leverages Natural Language Processing (NLP), Machine Learning, and Deep Learning techniques to transcribe, analyze, and extract actionable information from spoken content.

Components

• Speech-to-Text (STT): Converts speech into accurate text.
• Gender Identification (GID): Determines speaker gender from audio.
• Keyword Spotting (KWS): Detects and highlights specific keywords in speech.
• Spoken Language Identification (SLID): Recognizes the spoken language.
• Speaker Identification (SID): Identifies individual speakers in recordings.
• Speaker Diarization (SD): Distinguishes different speakers in conversations.

• National Security & Intelligence: Analyze intercepted audio, field recordings, and public sources for threat detection and investigation.
• Law Enforcement Investigations: Transcribe and analyze calls, interviews, or forensic audio to uncover critical evidence.
• Media and Broadcast Monitoring: Track specific narratives or terms across large volumes of spoken content in regional media.
• Government Policy & Administration: Extract insights from citizen feedback, public statements, or administrative discussions.

• Multilingual Speech Analytics: Supports multiple Indian languages and dialects.
• Audio/Video Content Analysis: Enables semantic search and intelligence extraction from multimedia recordings.
• Multi-Format Support: Compatible with major audio/video file types: WAV, MP3, MP4, FLAC, etc.
• Accurate Transcription (STT): Converts speech to highly accurate, searchable text.
• Keyword Spotting (KWS): Detects predefined keywords/phrases and provides timestamps for easy review.
• Speaker Diarization (SD): Differentiates between multiple speakers in a single conversation.
• Speaker Identification (SID) & Gender Detection (GID): Recognizes and verifies known speakers; detects speaker gender.
• New Speaker Enrollment: Seamlessly add new speaker profiles for tracking and future identification.
• Spoken Language Identification (SLID): Automatically detects the spoken language in multilingual conversations.

• Supported Languages: Multiple Indian languages and dialects
• Input Types: audio and video recordings
• Supported Formats: WAV, MP3, FLAC, MP4, AVI, etc.
• Deployment Modes: As a Service and On-premise
• Integration: REST APIs integration
• Scalability: Supports large-scale processing of Audio/Video data
• Customization: Domain-specific model fine-tuning support available

Mahesh Bhargava

Scientist E

Multilingual Technologies Group,

C-DAC, Pune.

Phone: 02025503305

Email: mbhargava[at]cdac[dot]in