Search - speech recognition noise

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[Speech/Voice recognition/combine] speakerrecognition DL : 0: 语音识别中的两种特征提取方法lpcc和mfcc，还有一个是文本无关的识别算法dtw，另外还有一个是预处理消噪部分的。共享一下，这些都是我调试过的，好用。-Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise source. Sharing that those are off the debugging and ease of use.
Update : 2008-10-13 Size : 1.7kb Publisher : 杨洁
[Other resource] 200613225718 DL : 0: 语音识别模块的性能指标：高识别率：在一定的硬件环境下，平均准确率可达97％；端点检测：在识别过程，具备端点检测功能；实时识别：具有唤醒功能；环境噪音：一定范围之内，仍可保证高识别率-speech recognition module performance indicators : high recognition rate : some of the hardware environment, average accuracy rate of up to 97%; Endpoint Detection : the identification process, with endpoint detection; Real-time Recognition : The wake-up function; Environmental noise : within a certain range, can ensure high recognition rate
Update : 2008-10-13 Size : 1.55mb Publisher : 唐永锋
[Speech/Voice recognition/combine] xiaoboyuyinduandianjianxe DL : 0: 语音端点检测是语音识别中至关重要的技术。无论军用还是民用，语音端点检测都有着广泛的应用。在低信噪比的环境中进行精确的端点检测比较困难，尤其是在无声段或者发音前后-voice activity detection is critical speech recognition technologies. Whether military or civilian, voice endpoint detection have broad application. Low signal-to-noise ratio in the environment for accurate endpoint detection more difficult, especially in or pronunciation of the silent before and after
Update : 2008-10-13 Size : 519.26kb Publisher : 李一
[Speech/Voice recognition/combine] ETSI_ES_202_212_software DL : 0: ETSI发布的用于研究分布式语音识别的前端降噪代码-ETSI issued for the study of Distributed Speech Recognition front Noise Code
Update : 2008-10-13 Size : 1.12mb Publisher : 杜俊
[Speech/Voice recognition/combine] ETSI_ES_202_050_1.1.3_software DL : 0: ETSI发布的用于研究分布式语音识别的前端降噪算法-ETSI issued for the study of Distributed Speech Recognition front Noise Reduction Algorithm
Update : 2008-10-13 Size : 1.43mb Publisher : 杜俊
[Speech/Voice recognition/combine] ETSI_ES_202_050_1.1.2_software DL : 0: ETSI发布的用于研究分布式语音识别的前端降噪算法-ETSI issued for the study of Distributed Speech Recognition front Noise Reduction Algorithm
Update : 2008-10-13 Size : 1.43mb Publisher : 杜俊
[Speech/Voice recognition/combine] ETSI_ES_202_050_1.1.3_software DL : 0: ETSI发布的用于研究分布式语音识别的前端降噪算法-ETSI issued for the study of Distributed Speech Recognition front Noise Reduction Algorithm
Update : 2025-02-17 Size : 1.43mb Publisher : 杜俊
[Speech/Voice recognition/combine] ETSI_ES_202_050_1.1.2_software DL : 0: ETSI发布的用于研究分布式语音识别的前端降噪算法-ETSI issued for the study of Distributed Speech Recognition front Noise Reduction Algorithm
Update : 2025-02-17 Size : 1.43mb Publisher : 杜俊
[Speech/Voice recognition/combine] speakerrecognition DL : 0: 语音识别中的两种特征提取方法lpcc和mfcc，还有一个是文本无关的识别算法dtw，另外还有一个是预处理消噪部分的。共享一下，这些都是我调试过的，好用。-Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise source. Sharing that those are off the debugging and ease of use.
Update : 2025-02-17 Size : 1kb Publisher : 杨洁
[Software Engineering] 200613225718 DL : 0: 语音识别模块的性能指标：高识别率：在一定的硬件环境下，平均准确率可达97％；端点检测：在识别过程，具备端点检测功能；实时识别：具有唤醒功能；环境噪音：一定范围之内，仍可保证高识别率-speech recognition module performance indicators : high recognition rate : some of the hardware environment, average accuracy rate of up to 97%; Endpoint Detection : the identification process, with endpoint detection; Real-time Recognition : The wake-up function; Environmental noise : within a certain range, can ensure high recognition rate
Update : 2025-02-17 Size : 1.84mb Publisher : 唐永锋
[Speech/Voice recognition/combine] xiaoboyuyinduandianjianxe DL : 0: 语音端点检测是语音识别中至关重要的技术。无论军用还是民用，语音端点检测都有着广泛的应用。在低信噪比的环境中进行精确的端点检测比较困难，尤其是在无声段或者发音前后-voice activity detection is critical speech recognition technologies. Whether military or civilian, voice endpoint detection have broad application. Low signal-to-noise ratio in the environment for accurate endpoint detection more difficult, especially in or pronunciation of the silent before and after
Update : 2025-02-17 Size : 519kb Publisher : 李一
[Speech/Voice recognition/combine] LMS-C DL : 0: LMS滤波器示例程序，在TURBOC中运行这是一个简单的可图形显示的C程序输入信号是一个被噪声污染了的sin信号。 */ /* 运行后，屏幕的上方是输入信号，下方是经过LMS滤波后的输出信号 -LMS filter sample programs, run in TurboC This is a simple graphical display can process the C input signal is a noise contaminated signal sin.*//* Running, the top of the screen is the input signal, the bottom is the result after the LMS filter output signal
Update : 2025-02-17 Size : 4kb Publisher : 蜗牛
[Speech/Voice recognition/combine] coleawin_Matlab_Speech_Analysis DL : 0: 波形和频谱双显示记录讲话直接进入MATLAB 手动分割讲话波形-创建标签文件波形编辑-切割，复制或粘贴共振峰分析-显示共振轨道的F1 ， F2和F3 基音分析过滤工具-语音信号滤波器截止频率比较工具-比较两个波形的频谱距离使用几种措施增加噪声-Dual time-waveform and spectrogram displays Records speech directly into MATLAB NEW Displays time-aligned phonetic transcriptions [e.g., TIMIT s .phn files]- see example Figure above Manual segmentation of speech waveforms- creates label files which can be used to train speech recognition systems Waveform editing- cutting, copying or pasting speech segments Formant analysis- displays formant tracks of F1, F2 and F3 Pitch analysis Filter tool- filters speech signal at cutoff frequencies specified by the user Comparison tool- compares two waveforms using several spectral distance measures Speech degradation- adds noise to the speech signal at an SNR specified by the us
Update : 2025-02-17 Size : 1.13mb Publisher : wsw
[Speech/Voice recognition/combine] Y1303765 DL : 0: 噪声环境下的说话人识别技术研究，论文。供研究语音识别的人员参考，学习。-Noise environments Speaker Recognition Technology, Thesis. Research on speech recognition for staff members to learn.
Update : 2025-02-17 Size : 10.58mb Publisher : hyguo
[Speech/Voice recognition/combine] noise_reduction_technique DL : 0: duction techniques proposed in the art are expressed as a spectral gain depending on the a priori SNR. In the well-known decision- directed approach, the a priori SNR depends on the speech spec- trum estimation in the previous frame. As a consequence the gain function matches the previous frame rather than the current one which degrades the noise reduction performance. We propose a new method called Two-Step Noise Reduction (TSNR) technique which solves this problem while maintaining the beneﬁ ts of the decision-directed approach. This method is analyzed and results in voice communication and speech recognition context are given.-noise estimate
Update : 2025-02-17 Size : 190kb Publisher : leon
[Speech/Voice recognition/combine] Speech-recognition DL : 0: 基于抗噪语音识别的计算机声控系统的实现，将抗噪语音识系统运行于windows上实现windows操作系统的一些简单命令-Anti-noise speech recognition based on voice-activated computer system implementation, the anti-noise voice-identification system is running on windows operating system windows to achieve a few simple commands
Update : 2025-02-17 Size : 721kb Publisher :
[Speech/Voice recognition/combine] The-research-of-anti-niose-speech DL : 0: 论文首先介绍了传统的语音特征参数MFCC，它是基于人耳听觉特性设计的一种特征参数，在静音环境下能得到较高的识别率，但在信噪比较低时识别率急剧下降，不利于实用化。本文通过对MFCC算法的分析和研究，发现其中的FFT和DCT在整个时频空间使用固定的。分析窗，这不符合语音信号特性，而小波变换具有多分辨率特性，更符合人耳的听觉特性。因此，本文将小波变换和MFCC算法相结合，提出了三种新的语音识别特-Speech recognition has wide use in the field of communication and so on·Speech feature parameter extraction is an important part of the speech recognition system．The performance of the feature parameter haftuences the system’S performance directly．And the environmental noise is a kev factor of restricting the performance of the feature parameter．This paper，s research object is extracting the speech feature parameter under the noise environment·Then it analyzes the auditory model of human，deeply analyzes and researches the traditional speech feature parameter MFCC， and proposes three improved MFCC parameters based on theⅥ，avelet transformation and the auditory characteristic ofhuman．Besides，the paper also gives all improved method about the feature parameter ZCPA．
Update : 2025-02-17 Size : 1.91mb Publisher : 周卓然
[Other] Laguerre-for-supress-noise DL : 0: 介绍Laguerre滤波器在抗噪语音识别特征提取中的应用，很详细-Introduced the application of the Laguerre filter in Noisy Speech Recognition feature extraction, in detail
Update : 2025-02-17 Size : 260kb Publisher : cooldog
[Speech/Voice recognition/combine] speech-recognition-system DL : 0: A robust speech recognit ion system based on discriminative learning of environmental features is proposed for recognit ion of environmental features in high noise background, and a g radient descent algo􀀂 rithm was adopted for parameters opt imization. Ex periments w ere carried out at different levels of back􀀂 g round noise for SNR, basic accuracy, noise- resistance and system environment adaptability. T he experi􀀂 mental result s show that the system has good recog nition performance in high noisy environments. The sys􀀂 tem can meet different needs of applicat ion.
Update : 2025-02-17 Size : 164kb Publisher : yanyeguo
[Speech/Voice recognition/combine] low-complexity-noise-estimation DL : 0: 一种低复杂度的噪声谱跟踪算法，用于语音增强和语音识别中，文件夹内有参考文献。-A low noise spectral tracking algorithm complexity, for speech enhancement and speech recognition, there are references folder.
Update : 2025-02-17 Size : 317kb Publisher : 尹海明

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