Speech to Text | Streaming API
The Speech-to-Text accurately converts speech into text using an API powered by Reverie's AI technology. The solution will transcribe the speech in real-time of various Indian languages and audio formats.
The solution is a fully managed and continually trained solution, which leverages machine learning to combine knowledge of grammar, language structure, and the composition of audio and voice signals to accurately transcribe the speech.
The prerequisites to set-up and use the STT API are:
The solution will understand regional accents, bi-lingual nature of Indians, and is dialect-agnostic. it will transcribe the audio from widely spoken Indian languages:
Note: Our Research and Development team is continuously working to enable all the leading Indian languages on the Speech-to-Text platform and strive to enhance the existing model's accuracy.
The Speech-to-Text solution offers robust features that help in delivering better user experience in interacting with the products through voice commands:
The pre-recorded audio files are transcribed accurately into text format in real-time. It will decode speech with high accuracy and confidence, even from the lower-quality audio input.
Personalize Speech Model
Tailor speech recognition to transcribe domain-specific terms and boost your transcription accuracy of specific words or phrases.
The solution will decode moderate noisy audio data recorded in various environments without requiring additional noise cancellation.
Obscenity filter will detect inappropriate or unprofessional content in your audio data and filter out profane words in text output.
The API is platform agnostic and will support both the deployment model:
- Cloud-based deployment
- On-premise deployment