[语音合成与识别] hardreg

说明：hardreg，经过编译仿真，结果正确，具有良好的移植性。-hardreg, compiled simulation, the result is correct, has good portability.
<沈蝶> 在 2025-04-25 上传 | 大小：283kb | 下载：0

[语音合成与识别] hhhmmr

说明：every files related to hmm.
<KRISHN KUMAR> 在 2025-04-25 上传 | 大小：3.39mb | 下载：0

[语音合成与识别] base

说明：this some of the content of hmm code-this is some of the content of hmm code
<KRISHN KUMAR> 在 2025-04-25 上传 | 大小：36kb | 下载：0

[语音合成与识别] binary_io

说明：this the second phase of hmm code-this is the second phase of hmm code
<KRISHN KUMAR> 在 2025-04-25 上传 | 大小：6kb | 下载：0

[语音合成与识别] code

说明：this the third part of the hmm code.-this is the third part of the hmm code.
<KRISHN KUMAR> 在 2025-04-25 上传 | 大小：5kb | 下载：0

[语音合成与识别] MELP_C_code

说明：this is a c++ implementation of melp 24-this is a c++ implementation of melp 2400
<Umer Hamid> 在 2025-04-25 上传 | 大小：59kb | 下载：0

[语音合成与识别] neural

说明：Voice recognition system using neural network
<Kamelab> 在 2025-04-25 上传 | 大小：26kb | 下载：0

[语音合成与识别] Y1303765

说明：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.
<hyguo> 在 2025-04-25 上传 | 大小：10.58mb | 下载：0

[语音合成与识别] novelspeechrecognitionmodelforarabic

说明：it is a document that explain speech recognition model in araboc language where explain steps for the speech recognition and how to implement it in arabic language
<ahmed> 在 2025-04-25 上传 | 大小：513kb | 下载：0

[语音合成与识别] asr2000

说明：Hidden Markov Models (HMMs) are a popular approach for speech recognition. Commonly, a left-to-right Markov chain topology is used, where each phoneme is represented by a sequence of states (typically three) [
<ahmed> 在 2025-04-25 上传 | 大小：81kb | 下载：0

[语音合成与识别] hddc_toolbox_1.0

说明：The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data. Referenc
<tra ba huy> 在 2025-04-25 上传 | 大小：49kb | 下载：0

[语音合成与识别] hdda_toolbox_1.1

说明：The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data. Refer
<tra ba huy> 在 2025-04-25 上传 | 大小：294kb | 下载：0