检测代价函数DCF. 计算公式为. DCF=C_{FRR}\ast FRR\ast PT + C_{FAR}\ast FAR\ast PI . 其中: C_{FRR} 为错误拒绝一个真实说话人的代价; C_{FAR} 为错误接受一个冒认者的代价; PT为真实说话人出现的先验概率; PI为冒认者出现的先验概率; FRR为错误拒绝率; FAR为错误接受率。

对于DCF公式而言，其中Cmiss和Cfalsealarm分别表示错误拒绝和错误拒绝的权重，即惩罚的大小。 Ptarget 和1-Ptarget分别表示真实说话人和冒名顶替者出现的先验概率。

2023年12月19日 · Abstract: In a speech recognition system, voice activity detection (VAD) is a crucial frontend module. Addressing the issues of poor noise robustness in traditional binary VAD systems based on DFSMN, the paper further proposes semantic VAD based on multi-task learning with improved models for real-time and offline systems, to meet specific ...

那么如何实现VAD呢？通常思虑有两种，一种是，基于传统的DSP（一般是基于高斯统计模型，也有基于门限的hard code），另一种，基于AI模型。下面我会对这两者的发展历史和实现作一个梳理，告诉你为什么他们要这样想和业内大家都怎么做。希望大家也能抱着着

real-time VAD system based on DFSMN, the real-time semantic VAD system based on RWKV achieves relative decreases in CER of 7.0%, DCF of 26.1% and relative improvement in NRR of 19.2%.

2023年12月19日 · In this paper, we present the real-time semantic VAD system based on RWKV and the offline semantic VAD system based on SAN-M. Experimental results show that the semantic VAD systems outperforms the DFSMN-based system in terms of …

In this paper, we propose a novel semantic VAD for low-latency segmentation. Differ- ent from existing methods, a frame-level punctuation predic- tion task is added to the semantic VAD, and the articial end- point is included in the classication category in addition to the often-used speech presence and absence.

2020年1月1日 · Voice activity detection (VAD), also called speech activity detection (SAD), is widely used in real-world speech systems for improving robustness against additive noises or discarding the non-speech part of a signal to reduce the computational cost of downstream processing (Price et al., 2018).

2023年12月19日 · 在语音识别系统中，语音活动检测（vad）是至关重要的前端模块。 针对传统基于DFSMN的二值VAD系统噪声鲁棒性差的问题，本文进一步提出基于多任务学习的语义VAD，并针对实时和离线系统改进模型，以满足特定的应用需求。

今天来介绍一个VAD的工具，VAD（Voice Activity Detection）语音活动检测，是可以把一段长语音以静音位置把语音分割成多段短语音，常见的就用WebRTC VAD工具，目前很多项目都是用这个工具，但是今天作者介绍的是另一个工具，这个工具是[YeAudio](https://github.com ...