CAJ | 학술논문

为了去除自发性口语音频中静音和噪音段的干扰，提高语音识别率和解码识别效率，提出一种音频能量自适应阈值计算方法。针对实时自动口语评测应用，设计了能量阈值自适应系数，该方法将根据能量阈值自适应系数动态地给每个考生的个人单次所有考试音频计算匹配一个能量阈值，以避免阈值选择和硬门限判决造成的误检。在基于自适应能量阀值的音频切分后，加入了基频检测步骤，以判别切分后所得音频段是否为噪声，从而最终分离出纯净的口语音频部分。实验结果表明，该算法能有效准确地切分音频，且鲁棒性较强。
위료거제자발성구어음빈중정음화조음단적간우，제고어음식별솔화해마식별효솔，제출일충음빈능량자괄응역치계산방법。침대실시자동구어평측응용，설계료능량역치자괄응계수，해방법장근거능량역치자괄응계수동태지급매개고생적개인단차소유고시음빈계산필배일개능량역치，이피면역치선택화경문한판결조성적오검。재기우자괄응능량벌치적음빈절분후，가입료기빈검측보취，이판별절분후소득음빈단시부위조성，종이최종분리출순정적구어음빈부분。실험결과표명，해산법능유효준학지절분음빈，차로봉성교강。
We present an audio energy adaptive threshold calculation method in order to remove the interference of silent and noisy segments in spontaneous oral speaking audio and to improve speech recognition rate and decoding efficiency.Aiming at the application of real-time automatic oral speaking evaluation,we design the energy threshold adaptive coefficient.This method will dynamically calculate and match an energy threshold to all personal single examining audios for every examinee based on the energy threshold adaptive coefficient in order to avoid the detection errors due to threshold selection and hard threshold judging.The pitch detection procedure is added after the audio segmentation based on adaptive energy threshold for estimating whether the segmented audio segments are noises,so that the pure audio components of oral speaking are separated finally.Experimental results show that the proposed algorithm can effectively segment audio,and is quite robust as well.