blab-fast-en-emma

What is this model?

A model hosted by Qevron on our own GPU infrastructure.

Capability & type

Capability	Text to Speech (TTS)
Model type	Text-to-speech (TTS) (type=7)
Base model	Piper
Provider	arpanet (local / self-hosted)
Streaming	✓ supported

Endpoint

POST /v1/audio/speech

Base URL: https://app.qevron.ai/v1

Authentication

Every request needs the Authorization: Bearer <KEY> header.

Authorization: Bearer <KEY>

Request schema & parameters

Parameter	Type	Required	Description
model	string	✓	blab-fast-en-emma
input	string	✓	Text to synthesize
voice	string	—	Voice id
response_format	string	—	wav

Response schema

audio/wav (binary) — the response body is the audio stream.

Streaming

Add "stream": true; the server replies incrementally over Server-Sent Events.

Code examples

curl

curl https://app.qevron.ai/v1/audio/speech \
  -H "Authorization: Bearer $QEVRON_KEY" -H "Content-Type: application/json" \
  -d '{"model": "blab-fast-en-emma", "input": "Merhaba dünya", "voice": "default", "response_format": "wav"}' \
  --output speech.wav

Python

from openai import OpenAI
client = OpenAI(api_key="$QEVRON_KEY", base_url="https://app.qevron.ai/v1")
r = client.audio.speech.create(model="blab-fast-en-emma", input="Merhaba dünya", voice="default")
r.stream_to_file("speech.wav")

Pricing

Input	Output	Unit
$0.001	—	1K tokens

Rate limits

RPM/TPM are governed by your group quota. Check your current quota with: GET /v1/dashboard/billing/quota.

Related

• All local models: Local Models