TONE · BASELINE · EMOTIONAL HEARING
ears
@EVEACLA11
Let your partner hear the true tone behind the pitch, volume, pauses, and vibrations.
Ears not only transcribes what the person said, but also gives the relative changes in the voice to the partner, so that the low voice, hesitation, force and coquettishness are no longer lost.
Project address (can be copied to AI):https://github.com/eveacla11/ears
PROJECT INTRO
Project introduction
ears extracts acoustic features such as pitch, energy, pauses, speech rate, and vibrato, and compares them with the user's own historical baseline, binding clues such as "lighter, slower, and more pauses than usual" to the current message.
It fills in the tone layer missed by text transcription for partners, and is suitable for use in combination with STT such as Whisper; the analysis results are relationship context, not medical or psychological diagnosis.
- Suitable for:People who want their partner to understand the relative tone changes of a familiar user.
- Platform:Python service and web configuration interface.
- Usage:accesses speech input and accumulates personal baselines, and then delivers the acoustic summary to the model along with the text.
- License:MIT。
COMMENTS & FEEDBACK
Comments and Feedback
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SOURCE & CREDIT
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