Speech Recognition is the ability of machines to convert spoken language into written text. Audio Processing goes further — enabling machines to interpret not just what was said, but how it was said. This includes analyzing tone, pitch, silence, noise, speaker identity, and even emotions.
From live transcriptions to detecting urgent audio cues, our solutions transform sound into actionable intelligence — helping companies understand, automate, and innovate through voice.
Real-Time Speech-to-Text
Fast, accurate transcription for calls, meetings, voice notes, or streaming audio
– Supports multiple languages and dialects
– Speaker diarization (identifies who said what)
Voice Command Interfaces
Enable hands-free control within applications or devices using integrated voice models
– Built using open-source or third-party platforms
– Ideal for mobile apps, smart devices, or internal systems
Emotion & Sentiment Analysis from Voice
Detect user emotions through tone, pitch, and pacing
– Valuable in mental health apps, call centers, and user feedback analysis
Audio Event Detection
Classify sounds like alarms, glass breaking, or gunshots
– Ideal for security, smart cities, and workplace safety systems
Noise Reduction & Audio Enhancement
Clean up audio using advanced noise suppression techniques
– Improves input quality for transcription and playback
Custom Speech Models
We fine-tune existing models to support domain-specific vocabulary, accents, or acoustic environments
– Use cases: healthcare, legal, technical support, or regional languages
We work with leading open-source and enterprise-grade tools to build tailored speech solutions:
Speech Recognition Platforms
Whisper
Vosk
DeepSpeech
Kaldi
Wav2Vec 2.0
Google Speech-to-Text
Azure Speech Services
Amazon Transcribe
Audio Analysis Libraries
Librosa
PyDub
SpeechBrain
Praat
FFmpeg
Audacity
We do not develop or distribute proprietary APIs or SDKs. Instead, we integrate best-fit technologies and adapt them to meet your specific use case.
Healthcare
– Dictate and transcribe medical notes
– Capture doctor-patient consultations
– Voice-based monitoring in telemedicine
Customer Support & Call Centers
– Real-time call transcription
– Sentiment and stress-level detection
– Quality assurance through speech insights
Security & Public Safety
– Detect critical or threatening sounds
– Enhance surveillance with audio triggers
– Monitor vocal distress signals
Education & Accessibility
– Live captioning for lectures and webinars
– Audio note indexing
– Tools for hearing-impaired accessibility
Media & Broadcasting
– Auto-caption video content
– Voice-based content search
– Audio segmentation for editing workflows
(Visual format for Elementor or display purposes — textual structure below)
Input Layer:
🎙 Microphones / Uploaded Files / Audio Streams
⬇️
Audio Preprocessing:
🎛 Noise Filtering (FFmpeg, PyDub)
📐 Normalization & Trimming
🔍 Voice Activity Detection
⬇️
Model Layer:
🧠 Speech Recognition (Whisper, Kaldi, etc.)
🎚 Audio Analysis (Librosa, SpeechBrain)
📈 Emotion/Sentiment Detection
⬇️
Output Layer:
✍️ Transcripts with Punctuation
👤 Speaker Identification
📂 Export Formats: JSON / SRT / Text
⬇️
Integration Layer:
🔗 Connected to existing customer systems
🧩 Embedded into mobile, web, or desktop apps
🖥️ Optional dashboard or visualization components
Q: Do you provide a speech API or SDK?
A: We don’t offer proprietary APIs or SDKs. Instead, we work with your team to integrate and fine-tune existing technologies — such as Whisper, Kaldi, or cloud speech APIs — based on your needs.
Q: Can your models handle background noise and poor audio?
A: Yes. We use advanced audio cleaning tools and tailor models to improve performance in noisy or challenging environments.
Q: Do you support offline or on-device usage?
A: Absolutely. We integrate models that can run fully offline or on edge devices, ensuring privacy and low-latency performance.
Q: What languages and accents are supported?
A: We support over 80 languages and regional accents. For niche requirements, we can fine-tune models using your own data samples.
Q: Is your solution privacy-compliant?
A: Yes. We support GDPR, HIPAA, and other compliance needs by offering secure, on-premise, or private cloud deployment options.
Tatzan is your trusted partner in advanced AI-driven solutions. From business automation to data analysis and customer engagement, we help your company grow efficiently and intelligently.