Speech and audio AI services build software that converts speech to text, understands spoken requests, generates natural-sounding voices and analyses audio, so calls, meetings and recordings can be searched, summarised and acted on automatically.
Voice is the most natural interface, and audio carries rich signals. We build speech and audio AI that transcribes calls, powers voice assistants, generates natural speech and detects important sounds, unlocking automation and analytics from audio data.
Transform voice and sound into intelligent data for automation and analytics. At Prominent AI Services LLP, we deliver speech and audio AI end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.
Transform voice and sound into intelligent data for automation and analytics.
Ideal for: Call Centers, Healthcare, Automotive, Media. We validate each idea with a measurable baseline, iterate on features and model architecture, and harden the winning model for scale with automated testing, versioning and performance monitoring.
For speech recognition we use models such as Whisper and the speech services of Azure, AWS and Google, chosen for accuracy on your accents and languages. Text-to-speech uses neural voices, including custom voices with proper consent. We add speaker separation, language detection, and NLP for sentiment, topics and summaries. Pipelines are built in Python and run in real time or in batches on Azure or AWS.
Choose a fixed-scope project, or hire AI developers and Python developers to join your team. Voice assistants are often combined with conversational AI integration, and transcripts with dashboards for call analytics.
Sitting on hours of unused recordings? Send us a sample, and we will show what speech AI can extract. Start your AI journey.
Common questions about our Speech & Audio AI services.
Yes. We fine-tune speech recognition models on accented and code-mixed speech to improve accuracy for Indian English and regional languages.
Yes. We combine speech-to-text with NLP to score calls, detect sentiment, extract action items and flag compliance issues.
We build text-to-speech solutions with natural voices and can create custom brand voices where licensing permits.
Cost depends on audio volume, languages, real-time versus batch processing, and integrations. Running costs are usually charged per hour of audio processed, which we estimate before the project starts.
On clear audio, modern models are highly accurate. Accuracy falls with noise, crosstalk and specialist terms; we measure it on your own recordings and improve it with custom vocabulary.
Yes. Streaming recognition produces live captions and can assist agents during a call. Batch processing is cheaper when results are not needed immediately.
A pilot on recorded calls usually takes three to six weeks. Real-time integration with a contact-centre platform typically takes longer.
