Ertaoza models · STT / ASR
Georgian STT: turn speech into text
Ertaoza has its own Georgian speech-to-text model. STT, also called ASR, turns spoken language into text for a transcript or further language processing. The right starting point is the recording environment: a telephone call and a clear studio recording are different tasks.
A speech-to-text workflow
Receive audio
Use a permitted recording or agreed speech channel.
Recognize speech
Convert the spoken content to text with STT.
Review the text
Check critical details before later processing or action.
What is Georgian speech recognition?
Speech-to-text converts speech in an audio signal into written words. ASR stands for automatic speech recognition and describes the same core task. Georgian STT can provide a transcript or the text input for a voice assistant; it does not by itself explain the conversation or complete a business action.
Transcription and voice-assistant input
Decide whether you need a readable transcript, input for an assistant or a record for human review. These outputs have different requirements, even when they begin with the same audio.
- Transcribe permitted Georgian recordings for review and editing.
- Convert a spoken question into text for a conversational assistant.
- Prepare source text for a later summary or information-extraction step.
- Support a defined dictation workflow where the speaker can review the result.
The recording conditions matter
Microphone quality, compression, background noise, overlapping speakers and the vocabulary of the conversation affect the task. Test on representative material rather than only on a clean demonstration recording.
Georgian names, addresses, inflected words and mixed-language terms deserve specific review. Important details should be confirmed in a live dialogue or checked by a person before they drive an action.
How to evaluate a Georgian transcript
Compare the output with a human-checked reference. Word error rate, or WER, is one way to describe transcription errors, but the interpretation depends on the dataset and scoring rules. A single percentage without those details is not a useful comparison.
Also review errors that matter to the business: a wrong date, amount or name can change the result even when most words are correct. No WER score or accuracy percentage is claimed for Ertaoza on this page.
A transcript is not a verified summary
STT records the recognized words. Summarizing, classifying the request or generating an answer belongs to a separate language-processing step. Keep the original transcript available for review and do not confuse an LLM’s interpretation with the speaker’s exact words.
Agree on processing and data handling
Clarify recording formats, duration, processing mode, access and retention before sending audio. Timestamps, speaker separation and streaming are requirements to evaluate, not features guaranteed by this overview.
Use non-sensitive examples for an initial discussion. Share personal recordings only through an agreed process with the appropriate permission and safeguards.
Questions and answers
Does Ertaoza have its own Georgian STT model?
Yes. Ertaoza has its own Georgian speech-recognition model for converting spoken input into text.
What is the difference between STT and ASR?
STT names the conversion from speech to text. ASR means automatic speech recognition. The terms commonly describe the same core recognition task, rather than two different Ertaoza products.
Can I upload a recording on this page?
No. There is no recording or file-upload tool here. Contact Ertaoza first to agree on the task, permitted data and a suitable evaluation process.
Will it recognize every word correctly?
No speech-recognition system should be assumed error-free. Test representative audio, review important details and define a confirmation or correction step for your use case.
Scope and availability
The technical reference explains speech recognition generally. It is not evidence of Ertaoza-specific accuracy, supported formats or compatibility.
Technical references
Ertaoza · Updated
Continue with the right next step
Tell us about the task
Describe the language, channel and result you need. Start with non-sensitive examples; agree on access and data handling before sharing recordings or customer information.
Discuss Georgian speech recognition