搜索资源列表
200613225718
- 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 t
AUDIO_FILTER1
- 语音滤波源代码，基于视频会议中语音编码前滤波，可以有效地消除噪声-voice filtering source code, based on video conference speech coding filter can effectively eliminate noise
xiaoboyuyinduandianjianxe
- 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
speech_noise_creat
- 将多种噪声与纯净语音合成的算法，用于作者在论文中的带噪语音来源-diversified pure noise and speech synthesis algorithm, the authors of the papers for the sources of Noisy Speech
LSAgai
- 对数谱最小均方误差语音增强算法（LSA-MMSE），对加入有音无音判决进一步提高信噪比，消噪效果非常好。适合各种平稳噪声。-right spectrum minimum mean square error speech enhancement algorithm (LSA - MMSE). sound right to a sound judgment without further improve signal-to-noise ratio, denoising effect was very
LSAcausal
- 语音增强算法，基于LsA-MMSE方法，并对其先验信噪比估计器进行了修改，具体过程参看Isal的论文。语音间隙间的音乐噪声也消除了。-speech enhancement algorithms, based on LsA - MMSE, and signal-to-noise ratio of its prior estimate for the changes, See specific process Isal theses. Voice gap between the music also
enhance
- remove background noise from speech signal
g729_audio_encode
- ITU-T G.729语音压缩算法。 descr iption: Fixed-point descr iption of commendation G.729 with ANNEX B Coding of Speech at 8 kbit/s using Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (CS-ACELP) with Voice Activity Decision(VAD), Discontinuo
VCandMATLAB
- Based on short-term energy detection and short-term cross zero rates detection in speech reorganization,the paper presents two-threshold endpoint detection.In addition,an accurate speech segmentation algorithm is achieved with the wavelet transfo
ETSI_ES_202_212_software
- 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
ETSI_ES_202_050_1.1.3_software
- 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
ETSI_ES_202_050_1.1.2_software
- 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
ETSI_ES_201_108_1.1.3_software
- 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
VADbyOSF
- An Effective Subband OSF-Based VAD With Noise Reduction for Robust Speech Recognition
DSP2
- DSB-SC信号的生成与解调 1) 用离散（DSP）的方法生成DSB信号 2) 载波频率为150KHz，音频为500Hz和2000Hz的混合音。 3) 加入高斯白噪声 （4） 语音信号 的传输。 改变抽样频率和量化台阶大小，观察重建信号以及量化噪声信号的波形；对于语音信号主观评价声音质量的变化。 -DSB-SC signal generation and demodulation 1) Discrete (DSP) methods to generate DSB signal 2) the ca
martin2001.zip
- 经典噪声估计，用于speech enhancement,noise estimation algorithm in speech enhancement
fenxing
- 为提高语音端点检测(VAD)在较低信噪比(10 dB)下的准确率,提出一种基于短时分形维数的改进算法。结合语音信号的特点,对2种常用的语音信号分形维数计算方法进行了比较和选择,同时采用动态跟随门限值实现语音端点的自适应检测。试验结果表明:对于信噪比6~10 dB的带噪语音,此方法可以实现整段语音的检测,而且具有一定的噪声鲁棒性,系统运行期间能够自适应调整门限值以适应环境噪声的变化,提高了VAD算法的准确率。这个是源码matlab。-In order to improve voice activi
speech_denoising_lms
- 利用LMS算法来对语音信号进行去噪处理，同时含有关于LMS的文档资料-LMS algorithm to the speech signal to deal with the noise, and also has the documents about LMS
matlab
- 双门限法检测离散语音端点，方法简单，易实现，常用语低噪环境-Double threshold discrete speech endpoint detection method is simple and easy to implement, low-noise environment commonly used terms
A_rate_of_13_c_dc
- A率13折线的编译码实现 1、了解PCM及13折线A率编码及译码的原理； 2、随机给出一个语音信号，并用A率13折线PCM对其编码； 3、将编码后的信号经过加性高斯白噪声信道，并在接收端对其进行译码； 4、分别画出原始语音信号、PCM编码信号以及译码后信号的波形。 -A rate of 13 polyline encoding and decoding implementation 1, to understand the principles of PCM and th