| 1. | Research of chinese - english bilingual acoustic modeling
汉英双语混合声学建模方法研究 |
| 2. | In the first step the wavelet coefficients were quantized by using a psycho - acoustic model
在步骤1中，通过心理音响学模型对小波系数进行量化。 |
| 3. | A combined clustering algorithm of acoustic modeling for continuous speech recognition . journal of chinese information processing , 2003 , 17 : 33 - 38 . 73 yu sheng - min , zhang shu - wu , xu bo
我国研究者在这两个方面均进行了探索，在跨语言信息检索方面主要侧重于中英两种语言之间的双向跨语言检索研究。 |
| 4. | In an oversimplified description , the speech recognition system processes and cleans up the audio and mathematically processes and matches the audio with language and acoustic models to turn the audio stream into a set of phonemes
简而言之，语音识别系统进行处理并整理音频，然后进行数字处理并把音频与语言和声音模型匹配起来以便把音频流转为一组音素。 |
| 5. | Sound classification technology high performance sound classification technology is the cornerstone of speech recognition , which can automatically segment the speech , music and noise , mark the recording environment , distinguish different speakers , and apply corresponding acoustic models
快速语音识别引擎采用高效的语音识别解码器，构建快速语音识别引擎，识别速度达到1 . 1倍实时。 |
| 6. | Prevailing speech recognition systems can obtain a very high accuracy for clean speech recognition , but their performance will degrade rapidly in noisy environments owing to the mismatch between the acoustic models and the testing speech
目前的语音识别系统对纯净语音可以达到非常高的识别精度，但是无处不在噪声带来了训练模型和测试语音之间的失配，识别器的性能在噪声环境中将会急剧下降。 |
| 7. | Prevailing speech recognition systems can obtain a very high accuracy for clean speech recognition , but their performance will degrade rapidly in noisy environments owing to the mismatch between the acoustic models and the testing speech
目前的语音识别系统对干净语音可以达到非常高的识别精度,但是无处不在的噪声带来了训练模型和测试语音之间的失配,造成识别器的性能在噪声环境下急剧地下降。 |
| 8. | The first task in the thesis is to make acoustic model . account practice transducer and other acoustic parameter " research and analyze arithinehc of echosotmder . research and analyze factors of influence system precision and me safety
论文中的首要工作是建立声学模型、计算出实际所需要的换能器以及其他的一些的声学参数、对测高的算法进行了研究分析、对影响系统精度以及准确正常工作的一些因素进行了分析。 |
| 9. | The pulsar system is developed with the following parts : the robust feature extraction based on auditory mechanisms , acoustic modeling with mandarin pronunciation characteristics , search space building based on wfst , and efficient global decoding scheme
本研究实现的系统pulsar包括：基于听感知机理的抗噪声特征提取，针对汉语发音特点的声学建模，基于加权有限状态自动机( wfst )的搜索空间，融合声学模型和语言模型的高效全局解码。 |
| 10. | Because noise causes the mismatch between the acoustic models and the testing speech , the performance of speech recognition systems will degrade rapidly in noisy environments . therefore , noise robust technology is a very crucial problem for the speech recognition
目前的连续语音识别系统对纯净语音已能达到非常高的识别精度,但是无处不在的背景噪声带来了训练模型和测试语音之间的失配,这种失配使得连续语音识别系统的性能在噪声环境中急剧下降。 |
