Solutions / Private ASR (Speech-to-Text, STT) — Corporate Speech Recognition System for Business

Private ASR (Speech-to-Text) is an on-premise solution for corporate speech recognition, allowing secure conversion of voice into text. The system provides complete data isolation, high recognition accuracy for Russian and Kazakh languages, and integration with internal business processes.

We use open-source models for ASR, which do not require licensing fees.

Purpose of Corporate STT

Private ASR integrates into the company’s infrastructure and is used for:

• Automatic transcription of phone calls, meetings, and conferences;
• Processing audio and video materials for internal documentation;
• Integration of voice assistants and chatbots;
• Improving search and analysis of voice data.

Value of Corporate STT

• Complete data isolation: on-premise, corporate cloud, VPS;
• Compliance with GDPR, NDA, and corporate information security policies;
• Support for Russian and Kazakh languages, with the possibility of adding others;
• Reduced cost and time for manual transcription;
• Scalable architecture for processing large volumes of audio.

Technical Architecture of the ASR Solution

1. ASR Models

Support for modern open-source models for corporate speech recognition:

• Whisper / OpenAI Whisper (local version);
• Vosk, Silero STT;
• Coqui STT / Mozilla DeepSpeech;

2. Infrastructure Stack

• Docker / Kubernetes for service orchestration
• GPU/CPU support: CUDA / ROCm for inference acceleration
• Microservices for batch transcription

3. API and Integration

REST API for integration with analytics, CRM, ERP, or internal IT systems. Private ASR can be easily embedded into existing business processes.

STT Functional Capabilities

Speech Recognition

• Batch audio-to-text conversion
• Support for multi-channel recordings
• Automatic punctuation and speech segmentation

Data Analysis and Structuring

• Transcription of calls, meetings, and conferences
• Sentiment analysis, keyword and phrase extraction
• Conversation classification for CRM, HR, and internal processes

Integration and Automation

• Voice assistants and corporate chatbots
• Automatic generation of protocols and reports
• Integration with internal search systems and data repositories

Corporate ASR Model Fine-Tuning

• Adaptation to corporate terminology
• Creation of specialized datasets to improve accuracy
• Model configuration for narrow industry scenarios
• Support for mixed languages and multi-task scenarios

Security and Privacy

All data is processed locally and not transmitted to external services. The solution complies with GDPR, NDA, and corporate information security policies. Audio is not used to train global models without the company’s consent.

Deployment Options

• On-premise — deployment on the company’s servers
• Private cloud — isolated corporate infrastructure
• Hybrid scheme — combined deployment for flexibility and scalability

ASR Implementation Project Scope

• Requirements analysis and infrastructure audit
• Selection of ASR model and hardware configuration
• Deployment and configuration of the STT server
• API integration and internal system connection
• Integration with speech analytics
• Fine-tuning the model for corporate scenarios
• Testing, optimization, and staff training
• Technical support and maintenance