This paper proposes an adaptive howling canceller using notch filter and 2-tap linear predictor, where howling consists of a single sinusoidal signal whose magnitude is much greater than other frequency’s magnitudes....This paper proposes an adaptive howling canceller using notch filter and 2-tap linear predictor, where howling consists of a single sinusoidal signal whose magnitude is much greater than other frequency’s magnitudes. The employed 2-tap linear predictor can quickly detect howling due to its high convergence speed. Although the output signal of the 2-tap linear predictor cannot be directly used as one of a howling canceller, we can obtain the frequency of howling from the filter coefficient. We utilize the filter coefficient of the 2-tap linear predictor to design a notch filter which achieves a very narrow elimination band. The designed notch filter removes only howling and retains other desired signals. Simulation results show that the proposed adaptive howling canceller can quickly detect and effectively remove howling.展开更多
In the 1950s,McCarthyism,characterized by anti-Communist and anti-foreign policy,was rampant throughout the United States of America.The public recitation of the poem“Howl”marks the beginning of the Beats’rebellion...In the 1950s,McCarthyism,characterized by anti-Communist and anti-foreign policy,was rampant throughout the United States of America.The public recitation of the poem“Howl”marks the beginning of the Beats’rebellion against McCarthyism.As a successful poetry-movie,the film Howl bridged the gap between vision and hearing through a series of diversified presentation forms,such as documentary reenactments,archival photos,and the reconstruction of court trial scenes,thus breaking the boundary between poetry and film.As a kind of displaying the authorship of Ginsberg,the close-up pictures of typewriters repeatedly appear in the film to vividly interpret the Beat writers’style of spontaneous composition.展开更多
读后续写的场景构建需以原文语境为基础,确保续写内容在时空逻辑、情感基调与风格氛围上与原文一脉相承。系统分析原文的场景元素,如环境描写、人物活动轨迹、矛盾冲突点等,能为场景构建提供清晰的逻辑锚点,避免偏离原文设定。如以“Sto...读后续写的场景构建需以原文语境为基础,确保续写内容在时空逻辑、情感基调与风格氛围上与原文一脉相承。系统分析原文的场景元素,如环境描写、人物活动轨迹、矛盾冲突点等,能为场景构建提供清晰的逻辑锚点,避免偏离原文设定。如以“Storm in the Cabin”为场景的读后续写,原文若通过howling wind、dimming candlelight等环境描写营造紧张氛围,续写前需梳理原文场景的核心要素:时空背景(暴风雨夜晚、封闭小屋)、人物状态(主角蜷缩取暖、窗外异响)、潜在情节线索(屋外神秘声响的来源)。通过提炼这些要素,我们可构建“环境渲染—情节递进—人物反应”的三层逻辑框架:第一步,延续原文的感官描写,如添加raindrops pounding on the roof强化听觉冲击;第二步,基于原文伏笔设计场景转折点,如打开门发现受伤的流浪狗;第三步,通过场景细节描写体现人物心理变化,如主角在照顾动物时从恐惧转为温暖。展开更多
啸叫干扰是语音通信系统中普遍存在的问题,常由扬声器与传声器之间的声反馈引发,严重影响语音质量与系统稳定性。针对传统方法在频率漂移、多频啸叫及实时性能方面的局限,提出一种融合多维特征检测与动态Notch滤波控制的啸叫抑制方法。...啸叫干扰是语音通信系统中普遍存在的问题,常由扬声器与传声器之间的声反馈引发,严重影响语音质量与系统稳定性。针对传统方法在频率漂移、多频啸叫及实时性能方面的局限,提出一种融合多维特征检测与动态Notch滤波控制的啸叫抑制方法。该方法利用均方根(Root Mean Square,RMS)能量趋势、频谱峰值结构、谐波分布及频率稳定性等多特征构建复合检测模型,能够有效区分啸叫、人声与短时冲击信号。在频率定位方面,设计频谱插值细化算法,提高了中心频率估计精度。在滤波控制方面,引入动态响应与自动释放机制,实现Notch滤波器的自适应调节。实验结果表明,该方法在多种典型啸叫场景下均表现出良好的抑制性能与语音保真度,具有较强的实时性与工程可用性。展开更多
文摘This paper proposes an adaptive howling canceller using notch filter and 2-tap linear predictor, where howling consists of a single sinusoidal signal whose magnitude is much greater than other frequency’s magnitudes. The employed 2-tap linear predictor can quickly detect howling due to its high convergence speed. Although the output signal of the 2-tap linear predictor cannot be directly used as one of a howling canceller, we can obtain the frequency of howling from the filter coefficient. We utilize the filter coefficient of the 2-tap linear predictor to design a notch filter which achieves a very narrow elimination band. The designed notch filter removes only howling and retains other desired signals. Simulation results show that the proposed adaptive howling canceller can quickly detect and effectively remove howling.
基金Supported by the projectof National Social Science Foundation of China“Comparative Study on the Postmodernity of Beat Poetry and‘Third Generation’Poetry”(Project No.21FWWB006)and“A Study on the Translation of Children’s Literature During the May 4th Movement(1917-1927)”(Project No.18FWW010)the key project of Sichuan Foreign Language and Literature Research Center“Research on the Anti-Text Writing of the Beats in the Context of McCarthyism”(Project No.SCWY21-01)+2 种基金the project of American Research Center of Southwest Jiaotong University“A Study on Anti-Text Writing of Beats Writers”(Project No.ARC2021005)the project of Sichuan higher education on the talents training and the reform of teaching quality“An Innovation Research on English Normal Students Training Under the Strategy of‘One Belt and One Road’”(Project No.JG2021-1363)the project of SASU first-class course“A Survey of English and American Literature”(Project No.2020KCB024)。
文摘In the 1950s,McCarthyism,characterized by anti-Communist and anti-foreign policy,was rampant throughout the United States of America.The public recitation of the poem“Howl”marks the beginning of the Beats’rebellion against McCarthyism.As a successful poetry-movie,the film Howl bridged the gap between vision and hearing through a series of diversified presentation forms,such as documentary reenactments,archival photos,and the reconstruction of court trial scenes,thus breaking the boundary between poetry and film.As a kind of displaying the authorship of Ginsberg,the close-up pictures of typewriters repeatedly appear in the film to vividly interpret the Beat writers’style of spontaneous composition.
文摘读后续写的场景构建需以原文语境为基础,确保续写内容在时空逻辑、情感基调与风格氛围上与原文一脉相承。系统分析原文的场景元素,如环境描写、人物活动轨迹、矛盾冲突点等,能为场景构建提供清晰的逻辑锚点,避免偏离原文设定。如以“Storm in the Cabin”为场景的读后续写,原文若通过howling wind、dimming candlelight等环境描写营造紧张氛围,续写前需梳理原文场景的核心要素:时空背景(暴风雨夜晚、封闭小屋)、人物状态(主角蜷缩取暖、窗外异响)、潜在情节线索(屋外神秘声响的来源)。通过提炼这些要素,我们可构建“环境渲染—情节递进—人物反应”的三层逻辑框架:第一步,延续原文的感官描写,如添加raindrops pounding on the roof强化听觉冲击;第二步,基于原文伏笔设计场景转折点,如打开门发现受伤的流浪狗;第三步,通过场景细节描写体现人物心理变化,如主角在照顾动物时从恐惧转为温暖。
文摘啸叫干扰是语音通信系统中普遍存在的问题,常由扬声器与传声器之间的声反馈引发,严重影响语音质量与系统稳定性。针对传统方法在频率漂移、多频啸叫及实时性能方面的局限,提出一种融合多维特征检测与动态Notch滤波控制的啸叫抑制方法。该方法利用均方根(Root Mean Square,RMS)能量趋势、频谱峰值结构、谐波分布及频率稳定性等多特征构建复合检测模型,能够有效区分啸叫、人声与短时冲击信号。在频率定位方面,设计频谱插值细化算法,提高了中心频率估计精度。在滤波控制方面,引入动态响应与自动释放机制,实现Notch滤波器的自适应调节。实验结果表明,该方法在多种典型啸叫场景下均表现出良好的抑制性能与语音保真度,具有较强的实时性与工程可用性。
