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🚀Function Overview

Hurston-1 generates accented English at 24 kHz or phone-mode 8 kHz G.711, with gated Apache-2.0-labelled weights and no verified hosted API price.

Key Features

  • 3B BF16 fine-tune of maya-research/maya1; publisher labels model weights Apache-2.0.
  • English only; regional Southern American and African English descriptions, not voice cloning.
  • Default 24 kHz audio; phone mode applies 300–3400 Hz filtering and outputs 8 kHz G.711 mu-law or A-law.
  • Voice descriptions include gender, age, accent, style and pace; each call can produce a new voice.
  • Long text is split around 40-word chunks and voice consistency may change.
  • Names, dates and amounts remain difficult; the publisher recommends check mode and listening before important use.
  • Publisher WER/listening/ accent-classifier figures are self-reported, not independent GetLLMs evaluation.
  • Public model metadata is visible, but weights/code/demo access requires the Hugging Face gate. No hosted provider or API contract was verified.

Use Cases

  • •Accented speech test data for ASR systems.
  • •IVR/voice-agent simulated callers and phone prompts.
  • •Synthetic speech drafts with human listening checks.

⚙️Input Parameters

text

string

English text for local synthesis.

voice description

string

Documented gender, age, accent, style and pace labels.

phone

boolean

Local phone-channel conversion, not a complete real-time phone-agent API.

check

boolean

Optional publisher-described Whisper/speaker checks; not executed here.

💡Usage Examples

Example 1

Input Parameters

{
  "command": "python hurston.py --model . --check --phone --accent \"Southern American accent\" --gender Female --text \"Thanks for calling. How can I help you today?\" --out call.wav"
}

Output Results

Illustrative request or command only. GetLLMs has not executed this example or verified model output.

Quick Actions

Technical Specifications

Hardware Type
Self-hosted gated Hugging Face artifact; no publisher hardware minimum verified.
Commercial Use
The publisher labels model weights Apache-2.0; artifact gating and model/data/demo licenses remain separate.