基于数字电视广播业务的音量补偿实现方案

数字电视广播业务中由于每个节目的信源来源不一,导致音频信号的强度不同。这个问题造成机顶盒在使用中,切换不同频道的时候,会出现音量动态变化范围过大,造成观众主观感受不适。本文提出一种解决方法,即监控各个频道的音频变化,然后通过在SDT表中增添私有音频描述符,直接触发终端机顶盒音量的自动调整,从而使得各个频道的音量做到更加均衡。

车载音频系统的自动增益补偿设计

针对传统车载音频系统不能自动适应不断变化的车内声音环境的问题,设计了基于DSP技术的自动增益补偿。首先测试分析当前多媒体播放音量和车内噪声等关键因素对车内收听效果的影响,然后自动调节车载音频系统的增益和滤波器参数值,尤其对音量和响度进行动态补偿,最终确保在不断变化的车内环境中高音质的听觉享受。实车测试表明,该设计能有效地减少车内噪声影响,满足车内听觉频响特性。

A speech enhancement algorithm to reduce noise and compensate for partial masking effect

To enhance the speech quality that is degraded by environmental noise,an algorithm was proposed to reduce the noise and reinforce the speech.The minima controlled recursive averaging(MCRA) algorithm was used to estimate the noise spectrum and the partial masking effect which is one of the psychoacoustic properties was introduced to reinforce speech.The performance evaluation was performed by comparing the PESQ(perceptual evaluation of speech quality) and segSNR(segmental signal to noise ratio) by the proposed algorithm with the conventional algorithm.As a result,average PESQ by the proposed algorithm was higher than the average PESQ by the conventional noise reduction algorithm and segSNR was higher as much as 3.2 dB in average than that of the noise reduction algorithm.