Representative speech data
Speakers, prompts, recordings, and metadata match the intended use.
Admas capability
TTS & STT
Build speech experiences that respect the language, the speaker, and the real acoustic conditions of use.
Three ways in
Speech quality depends on far more than audio volume: phonology, speaker design, prompts, recording, metadata, evaluation, and product context all matter.
Choose a focused engagement below, or bring us a problem that crosses the boundaries.
01
Speech data programs
Speaker, prompt, recording, transcription, and validation systems for multilingual speech development.
02Text-to-speech development
Language design, pronunciation resources, voice evaluation, and product QA for natural synthesized speech.
03Speech recognition evaluation
Language-aware ASR testing, error analysis, and improvement plans across speakers, accents, domains, and environments.
Signals to act
This work matters when…
- A voice is intelligible but does not sound natural or local
- Recognition performance collapses across accents and environments
- Low-resource languages lack reliable speech data
- Teams cannot explain why speech metrics and human judgment disagree
What changes
From language risk to operating capability.
Natural voice output
Pronunciation, prosody, pacing, and persona are evaluated in language context.
Robust recognition
Errors are measured by user impact, language pattern, and acoustic condition.
Start here
Let’s solve the tts & stt constraint.
Share the product, languages, timing, and what is not working. We will shape the right starting engagement.
Talk to a specialist