acoustic recognition 中文意思是什麼

acoustic recognition 解釋
聲識別
  • acoustic : adj. 1. 聽覺的；聲學的。2. 助聽的；傳音的。3. 原聲的，不經過電子設備傳聲的。adv. -tically 在聽覺上；在聲學上。
  • recognition : n. 1. 認識；識出；識別；面熟，認得；招呼。2. 承認，認可。3. 褒獎，表揚；感謝，酬勞。
  1. The feature parameter extraction methods of the underwater target are studied which can improve the performance of the underwater acoustic countermeasure equipments. several feature extraction methods such as the scale invariance feature extraction, target pole extraction fourier - mellin transform etc are investigated by computer simulations. the experimental results demonstrated the efficiency of these feature extraction methods in the applications of underwater target recognition

    對多種特徵提取方法如目標相對不變尺度特徵提取、目標極點特徵提取、目標信號的傅里葉?梅林變換特徵提取等進行了模擬研究，結果表明了這些特徵參數提取方法的有效性，具有良好的應用前景。
  2. Application of the denoising wavelet - pocket energy method to the recognition of underwater acoustic signal

    去噪小波包能量法在水聲信號識別中的應用
  3. An error - tolerant algorithm in decoding module of mandarin continuous speech recognition is examined to correct substitution, insertion and deletion errors in acoustic recognition

    摘要本文研究了漢語連續語音識別音字轉換中的容錯演算法，以糾正聲學識別的替代、插入、刪除錯誤。
  4. Part iii compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic - phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing

    第三部分對比了語音識別中的各種方法，並介紹在聲音-語音模型，高穩度語音識別，輸出調適，多語種信息對比處理，語音理解和多模式處理等領域中所應用的高級技術。
  5. There are difficulties in noisy speech recognition, especially low signal - to - noise rations are more difficult. this paper describes briefly six methods for speaker - dependent noisy speech recognition isolated words. they are lpc prediction error method, one - side auto - correlation sequence lpc, acoustic front end processing, canonical correlation based on compensation method, combination of features method and increase of poles method. the experimental results show that all the six techniques can improve effectively noisy speech recognition, and the best noisy speech recognition rate is above 80 % when snr 0db

    它們是：線性預測誤差法，單邊自相關線性預測法，語音前端聲學處理法，正則相關分析的譜變換補償方法，特徵綜合法和同模極點增加法。實驗結果表明，這6種方法都有效地提高了噪聲環境中語音識別率，其中較好的方法在強噪聲環境中信噪比為0db的語音識別率達到80 %以上，為信噪比較低的噪聲環境中自動語音識別展現了美好前景。
  6. Speech emotion recognition using acoustic features

    基於語音聲學特徵的情感信息識別
  7. 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

    我國研究者在這兩個方面均進行了探索，在跨語言信息檢索方面主要側重於中英兩種語言之間的雙向跨語言檢索研究。
  8. 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

    簡而言之，語音識別系統進行處理並整理音頻，然後進行數字處理並把音頻與語言和聲音模型匹配起來以便把音頻流轉為一組音素。
  9. 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

    快速語音識別引擎採用高效的語音識別解碼器，構建快速語音識別引擎，識別速度達到1 . 1倍實時。
  10. 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

    目前的語音識別系統對純凈語音可以達到非常高的識別精度，但是無處不在噪聲帶來了訓練模型和測試語音之間的失配，識別器的性能在噪聲環境中將會急劇下降。
  11. 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

    目前的連續語音識別系統對純凈語音已能達到非常高的識別精度，但是無處不在的背景噪聲帶來了訓練模型和測試語音之間的失配，這種失配使得連續語音識別系統的性能在噪聲環境中急劇下降。
  12. 3. then comes the whole structure and frame of our isolated word recognition system, including speech acoustic analyzing 、 feature extraction 、 acoustic modeling and recognition strategy in hmm, at the end of this chapter we get the result of isolated word recognition system.

    3 .從語音信號處理分析出發，在hmm的理論基礎上，闡述了本文所研究的孤立詞語音識別系統的基本框架和組成部分，包括聲學分析、特徵提取、孤立詞聲學建模、訓練識別以及最終的孤立詞系統識別結果。
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