Human‑like Speech Understanding and Generation
Advanced speech‑to‑text, natural TTS, real‑time translation, and voice cloning for assistants and automation.
Speech‑to‑Text (ASR)
Whisper, Wav2Vec 2.0, Conformer
- • Accurate, multilingual transcription
- • Diarization, timestamps, profanity filtering
Text‑to‑Speech (TTS)
Coqui TTS, VITS, Microsoft Neural TTS
- • Natural prosody, multiple voices
- • Low‑latency streaming synthesis
Translation & Cloning
SeamlessM4T, Translatotron, OpenVoice
- • Real‑time speech translation
- • Personalized voice cloning
Build natural voice experiences
From call centers to assistants, we deliver end‑to‑end speech solutions.
Frequently Asked Questions
Questions about speech recognition, TTS, translation, and deployment options.
Can you support multiple languages and accents in speech recognition?
Yes. By leveraging models like Whisper and Wav2Vec 2.0 and fine‑tuning where needed, we support a wide range of languages and accent variations, with custom vocabulary and domain adaptation when required.
Do you offer on‑premise or private deployment for speech AI?
We can deploy speech recognition and TTS pipelines on your own infrastructure or VPC so that audio and transcripts never leave your controlled environment—important for healthcare, finance, and other regulated industries.
How realistic are the voices for text‑to‑speech and voice cloning?
Modern neural TTS and cloning systems produce highly natural speech with controllable tone and style. We calibrate quality, cost, and latency to your use case, and follow appropriate consent and usage policies for any cloned voices.
What latency can we expect for real‑time speech applications?
For most conversational use cases we target sub‑second end‑to‑end latency by combining streaming ASR, lightweight TTS, and optimized infrastructure. Exact latency depends on network, model choice, and deployment location.