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At Aisosys, we specialize in developing powerful Speech & Audio AI solutions that allow machines to understand, interpret, and generate human speech with remarkable accuracy. With a robust team of 150+ AI experts, we help businesses integrate cutting-edge voice technology into their products and processes.
From real-time transcription to voice biometrics and emotion analysis, our solutions are built to enable hands-free control, enhance accessibility, and create human-like voice interactions.
Convert spoken language into written text with high accuracy
Generate lifelike audio from scripts across multiple languages
Use in call centres, smart assistants, and content narration
Unique voiceprint-based identity verification
Speaker diarylation and voice authentication for security
Integrate with mobile apps, IoT devices, and smart interfaces
Analyze voice tone, pitch, and pace to detect emotional states
Understand stress, anger, or happiness in real-time
Used in customer service, therapy, and employee wellness
Live audio-to-text conversion for meetings, calls, and webinars
Custom vocabulary for domain-specific accuracy (legal, medical)
Multilingual support with speaker labels and timestamping
We assess your requirements, use cases, and audio data types to define the project scope.
Voice samples are pre-processed using noise filtering and normalization to prepare for training.
We train or fine-tune models using deep learning techniques like wav2vec, Whisper, or Taco Tron.
Solutions are deployed as APIs and continuously improve through live feedback and performance monitoring.
Speech & Audio AI involves technologies that understand and generate human speech, including voice recognition, transcription, and emotional audio analysis.
Our STT models achieve accuracy rates above 90%, with the option to customize for specific accents, industries, or jargon for even higher precision.
Yes. We offer voice biometric authentication systems that can recognize individual users by their unique voice signatures.
Absolutely. Our models can detect a range of emotional cues from audio with strong accuracy, and are continuously refined using domain-specific datasets.
Yes. Our tools enable live speech-to-text conversion with speaker identification and timestamping for streaming, conferencing, or live customer interactions.