speech_eres2netv2w24s4ep4_sv_zh-cn_16k

Frankee/speech_eres2netv2w24s4ep4_sv_zh-cn_16k

PublisherFrankee

Download access requirementsModelScope source

这是一个用于说话人声纹识别的 ERes2Net v2 模型，已转换为 ONNX 格式以获得更好的推理性能。该模型专注于高性能的声纹特征提取，适用于各类声纹识别应用场景。 2. 使用 ModelScope SDK：推理后端：ONNX Runtime GPU

Speech & Audio

View all download instructions Mirror repository documentation and license ↗

Model details

模型介绍

中文整理

模型简介

这是一个用于说话人声纹识别的 ERes2Net v2 模型，已转换为 ONNX 格式以获得更好的推理性能。该模型专注于高性能的声纹特征提取，适用于各类声纹识别应用场景。

获取方式

您可以通过以下方式获取模型：

直接克隆本仓库：

使用 ModelScope SDK：

模型架构

模型：ERes2Net v2

基础宽度：24

缩放因子：4

扩展因子：4

嵌入维度：192

技术规格

框架：ONNX

推理后端：ONNX Runtime GPU

采样率：16kHz

输入格式：16位 PCM 音频

输出维度：192维声纹特征向量

版本说明

当前版本：v1.0.0

初始 ONNX 转换版本

优化 GPU 推理性能

支持批量推理

使用方法

环境要求

CUDA 12.x

ONNX Runtime GPU 1.19.0+

cuDNN 8.x

推理示例

性能说明

GPU 推理时间：~10ms (音频长度 3s)

CPU 推理时间：~50ms (音频长度 3s)

模型大小：约 15MB

内存占用：约 500MB (GPU 模式)

最佳实践

音频预处理：
采样率转换到 16kHz
音频长度建议 2-10 秒
音频格式转换为 float32，范围归一化到 [-1, 1]

性能优化：
使用 GPU 推理可获得最佳性能
支持批量推理，batch size 建议不超过 32
第一次推理会有初始化开销，建议预热

License

Apache License 2.0

Quote

如果您使用了这个模型，请引用以下论文：

优先采用原作者提供的中文模型卡片；仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。

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完整仓库可能包含多个权重格式，因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。

使用前须知

运行环境

运行模型需要的设备、工具与依赖，以原作者说明为准。

授权范围

是否允许商用、修改和分发，请查看模型许可证。

闲社提供资料与镜像下载方法，不代表已运行模型或完成安全审计。下载的代码应先检查，再执行。

Problem with the information or download?

Pinned version · Multiple download options

speech_eres2netv2w24s4ep4_sv_zh-cn_16k model download

Download the full repository or choose a version or file.

Download tools · More than GGUF

Use the Hugging Face download tool to obtain Frankee/speech_eres2netv2w24s4ep4_sv_zh-cn_16k. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

Pinned-version file information is being completed. Existing downloads remain available, or load the file manifest below.

Choose a mirror or official source, your operating system and download scope below, then copy the command. Install the download tool first if needed.

Pinned version: 2c0fae94c0c51872e60229ba3d8515d5e379700c. Downloads files only; does not start the model.

Choose a download source

Pinned ModelScope version: 2c0fae94c0c51872e60229ba3d8515d5e379700c. Version identifiers can differ across sites. The alternative source was provided after checking weights and runtime configuration; this is not proof of a successful model run.

A checked, pinned ModelScope source is available for this model. Use the ModelScope download tool.

Choose what to download

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Quantization / file

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Choose your operating system

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Open a terminal window

Create and open a folder for the model. In the folder's address bar, enter powershell and press Enter.

If Python is not installed, get it from the official Python website. In the terminal, enter python --version; continue when a version number appears.

First time? Install the download tool

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python -m pip install --upgrade huggingface_hub

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Run the download command

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python not found: Install Python and reopen the terminal. On Windows, follow the installer's instructions to enable command-line access.

hf not found: Confirm that step 2 succeeded, then reopen the terminal. If needed, add Python's Scripts folder to your user PATH. Do not repeatedly download scripts.

Network interrupted: Stay in the same folder and run the same command again. The tool checks existing files.

Permission or disk error: Choose a writable folder with enough free space. Do not disable system security protection.

View the full download command

modelscope download --model "Frankee/speech_eres2netv2w24s4ep4_sv_zh-cn_16k" --revision "2c0fae94c0c51872e60229ba3d8515d5e379700c" --local_dir "./models/Frankee--speech_eres2netv2w24s4ep4_sv_zh-cn_16k--ms-2c0fae94c0c5"

Files transfer directly from the source you choose, not through Xianshe servers.

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Public models do not require submitting keys to Xianshe. Restricted models still require the author's authorization. On Linux / macOS, use python3 instead of python when appropriate.