Turn Voice Into Actionable Data
Build intelligent speech recognition systems that transcribe, analyze, and act on spoken language in real-time. From voice commands to call center analytics, we deliver production-ready speech AI.
Speech Recognition Solutions We Build
From transcription to voice interfaces, we build speech AI that understands context, accents, and domain-specific terminology.
Real-Time Transcription
Convert live speech to text with minimal latency for applications like live captioning and voice commands.
- Sub-second latency
- Speaker identification
- Multi-language support
Call Center Analytics
Analyze customer conversations for insights, compliance, and quality assurance.
- Sentiment analysis
- Compliance monitoring
- Performance metrics
Voice Assistants
Build intelligent voice interfaces that understand natural language and execute complex commands.
- Intent recognition
- System integration
- Multi-platform support
Automated Subtitling
Generate accurate captions and subtitles for video content with timestamps and speaker labels.
- Precise timestamps
- Auto-punctuation
- Multiple formats (SRT, VTT)
Medical Dictation
HIPAA-compliant speech recognition for healthcare documentation and clinical notes.
- Medical terminology
- HIPAA compliance
- EHR integration
Multilingual Transcription
Transcribe and translate speech across 100+ languages with dialect recognition.
- 100+ languages
- Accent adaptation
- Real-time translation
Why Traditional Speech Systems Fail
in Modern Applications
Legacy speech recognition systems struggle with accents, background noise, and domain-specific terminology—leading to poor transcription and user frustration.
Traditional speech systems struggle with:
User frustration with legacy systems
Word error rate in noisy environments
Annual API costs for high-volume apps
How We Build Speech Systems
We use modern speech recognition and NLP models to build accurate, reliable systems.
Audio Data Collection
Gather diverse audio samples representing your use case and user base.
Model Training & Optimization
Fine-tune speech models on your data for optimal accuracy.
Real-Time Processing Pipeline
Build low-latency pipelines for streaming audio and instant transcription.
Continuous Improvement
Monitor performance and retrain models as language and accents evolve.
Technologies We Use
We build with advanced speech recognition and language processing frameworks.
Technical content available in English
Google Speech-to-Text
Industry-leading speech recognition with support for 125+ languages and automatic punctuation.
Why We Use It
- Superior accuracy across accents and dialects
- Real-time streaming and batch processing
- Custom vocabulary and model adaptation
- Speaker diarization and noise cancellation
Use Cases
- Call center transcription
- Voice commands
- Meeting notes automation
Why Choose Mirchandani Technologies
Accent & Dialect Expertise
Our models are trained on diverse speech patterns to understand regional accents and dialects.
Custom Vocabulary
Add industry-specific terms, product names, and jargon for higher accuracy.
On-Device Processing
Deploy models on-device for offline capabilities and enhanced privacy.
Multi-Language Support
Build speech systems that work across 100+ languages with automatic language detection.
Noise Robustness
Advanced preprocessing handles background noise, echo, and poor audio quality.
Real-Time Processing
Sub-second latency for live transcription and voice commands.
Industries We Serve
Healthcare
Medical dictation, clinical documentation, patient voice assistants
Call Centers
Call transcription, sentiment analysis, quality assurance automation
Media & Entertainment
Video captioning, content search, accessibility features
Legal
Deposition transcription, court reporting, legal documentation
Education
Lecture transcription, language learning, accessibility tools
Automotive
Voice commands, hands-free controls, driver assistance
Smart Home
Voice assistants, home automation, device control
Finance
Voice authentication, banking assistants, compliance recording
Your Questions Answered
Everything you need to know about our services in Dubai and UAE
Does speech recognition work for Arabic dialects spoken in UAE?
Yes, our speech recognition accurately processes Modern Standard Arabic, Gulf Arabic, Egyptian, Levantine, and Emirati dialects with 92-96% accuracy. Systems handle code-switching between Arabic and English common in Dubai, recognize regional accents, and process natural conversational speech for customer service, medical dictation, and business applications.
What's the accuracy of Arabic speech recognition in noisy environments?
Arabic speech recognition maintains 85-90% accuracy in noisy environments including Dubai call centers, hospitals, retail stores, and outdoor settings. Advanced noise cancellation filters background sounds, multiple microphones capture clear audio, and AI distinguishes speech from ambient noise for reliable transcription in real-world conditions.
Can speech recognition handle bilingual Arabic-English conversations?
Yes, our systems seamlessly process bilingual conversations common in UAE business settings, automatically detecting language switches mid-sentence. Dubai users can speak naturally mixing Arabic and English, and receive accurate transcriptions maintaining context and meaning for both languages without manual language selection.
How fast is real-time Arabic speech transcription?
Real-time transcription delivers results with under 500ms latency, displaying text as speakers talk. Dubai businesses use this for live meeting transcriptions, customer service calls, medical dictation, and court proceedings. Systems process 160 words per minute matching natural Arabic speech rates for seamless real-time applications.
What use cases work best for speech recognition in Dubai?
Top use cases include customer service automation (80% call handling), medical documentation (60% time savings), meeting transcription, voice-controlled systems, and accessibility features. Dubai contact centers reduce costs by 50%, healthcare providers save 15 hours weekly on documentation, and businesses improve productivity through voice-enabled workflows.
How does speech recognition ensure data privacy for UAE businesses?
All audio processing occurs on UAE-based servers with end-to-end encryption, no data transmission outside Emirates, and automatic deletion of audio files after transcription. Systems comply with UAE data protection laws, provide role-based access, maintain audit trails, and offer on-premise deployment for highly sensitive government and healthcare applications.
Can speech recognition integrate with our existing Dubai call center?
Yes, we integrate with all major call center platforms (Avaya, Cisco, Genesys), CRM systems, and telephony infrastructure used in UAE. Integration takes 2-3 weeks, provides real-time transcription, sentiment analysis, keyword spotting, and compliance monitoring. Dubai call centers achieve 40% productivity improvement with automated quality assurance.
What's the difference between speech recognition and voice biometrics?
Speech recognition converts spoken words to text (what was said), while voice biometrics identifies speakers by voice characteristics (who said it). Dubai businesses often combine both for customer authentication and transcription. Voice biometrics provides secure access control, fraud prevention, and personalized experiences based on speaker identity.
Does speech recognition work for Arabic dialects spoken in UAE?
Yes, our speech recognition accurately processes Modern Standard Arabic, Gulf Arabic, Egyptian, Levantine, and Emirati dialects with 92-96% accuracy. Systems handle code-switching between Arabic and English common in Dubai, recognize regional accents, and process natural conversational speech for customer service, medical dictation, and business applications.
What's the accuracy of Arabic speech recognition in noisy environments?
Arabic speech recognition maintains 85-90% accuracy in noisy environments including Dubai call centers, hospitals, retail stores, and outdoor settings. Advanced noise cancellation filters background sounds, multiple microphones capture clear audio, and AI distinguishes speech from ambient noise for reliable transcription in real-world conditions.
Can speech recognition handle bilingual Arabic-English conversations?
Yes, our systems seamlessly process bilingual conversations common in UAE business settings, automatically detecting language switches mid-sentence. Dubai users can speak naturally mixing Arabic and English, and receive accurate transcriptions maintaining context and meaning for both languages without manual language selection.
How fast is real-time Arabic speech transcription?
Real-time transcription delivers results with under 500ms latency, displaying text as speakers talk. Dubai businesses use this for live meeting transcriptions, customer service calls, medical dictation, and court proceedings. Systems process 160 words per minute matching natural Arabic speech rates for seamless real-time applications.
What use cases work best for speech recognition in Dubai?
Top use cases include customer service automation (80% call handling), medical documentation (60% time savings), meeting transcription, voice-controlled systems, and accessibility features. Dubai contact centers reduce costs by 50%, healthcare providers save 15 hours weekly on documentation, and businesses improve productivity through voice-enabled workflows.
How does speech recognition ensure data privacy for UAE businesses?
All audio processing occurs on UAE-based servers with end-to-end encryption, no data transmission outside Emirates, and automatic deletion of audio files after transcription. Systems comply with UAE data protection laws, provide role-based access, maintain audit trails, and offer on-premise deployment for highly sensitive government and healthcare applications.
Can speech recognition integrate with our existing Dubai call center?
Yes, we integrate with all major call center platforms (Avaya, Cisco, Genesys), CRM systems, and telephony infrastructure used in UAE. Integration takes 2-3 weeks, provides real-time transcription, sentiment analysis, keyword spotting, and compliance monitoring. Dubai call centers achieve 40% productivity improvement with automated quality assurance.
What's the difference between speech recognition and voice biometrics?
Speech recognition converts spoken words to text (what was said), while voice biometrics identifies speakers by voice characteristics (who said it). Dubai businesses often combine both for customer authentication and transcription. Voice biometrics provides secure access control, fraud prevention, and personalized experiences based on speaker identity.
Ready to Build a Speech Solution?
Let's discuss your speech requirements and build an accurate system.