---
type: "raw_signal"
id: "trained-on-1-578-hours-of-synthetic-speech-edcfe8"
slug: "trained-on-1-578-hours-of-synthetic-speech-edcfe8"
title: "Trained on 1,578 hours of synthetic speech generated by VoxCPM2 , no real speakers used."
description: "OpenBMB’s VoxCPM2 model card describes a 2-billion-parameter text-to-speech model supporting 30 languages and 48 kHz audio output, with voice design and voice-cloning features."
retrieval_nugget: "OpenBMB’s VoxCPM2 model card describes a 2-billion-parameter text-to-speech model supporting 30 languages and 48 kHz audio output, with voice design and voice-cloning features."
observed_at: "2026-10-11"
record_date: "2026-10-11"
date_kind: "observed_at"
why_it_matters: "OpenBMB’s VoxCPM2 model card describes a 2-billion-parameter text-to-speech model supporting 30 languages and 48 kHz audio output, with voice design and voice-cloning features. It states that training used more than 1,578 hours of synthetic speech generated by VoxCPM2 and no real speakers. The model is listed under the Apache-2.0 license, including commercial use. These are claims from the model c"
novelty: "notable"
verification_level: "source-linked"
signal_type: "release"
source_platform: "huggingface.co"
topics: []
entities: ["OpenBMB","VoxCPM2","Hugging Face"]
related_patterns: []
source_url: "https://huggingface.co/openbmb/VoxCPM2"
source_urls: ["https://huggingface.co/openbmb/VoxCPM2"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:trained-on-1-578-hours-of-synthetic-speech-edcfe8"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/trained-on-1-578-hours-of-synthetic-speech-edcfe8/","markdown":"https://newruntime.com/signals/trained-on-1-578-hours-of-synthetic-speech-edcfe8.md","json":"https://newruntime.com/signals/trained-on-1-578-hours-of-synthetic-speech-edcfe8.json"}
---

# Trained on 1,578 hours of synthetic speech generated by VoxCPM2 , no real speakers used.

## Retrieval answer

OpenBMB’s VoxCPM2 model card describes a 2-billion-parameter text-to-speech model supporting 30 languages and 48 kHz audio output, with voice design and voice-cloning features.

OpenBMB’s VoxCPM2 model card describes a 2-billion-parameter text-to-speech model supporting 30 languages and 48 kHz audio output, with voice design and voice-cloning features. It states that training used more than 1,578 hours of synthetic speech generated by VoxCPM2 and no real speakers. The model is listed under the Apache-2.0 license, including commercial use. These are claims from the model card; the supplied source does not independently verify the training corpus or report an external evaluation.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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