灏忔尝鍙樻崲鍦ㄨ闊充俊鍙峰鐞嗕腑鐨勫簲鐢?/p>
XXX
(
姹熻嫃绉戞妧澶у
姹熻嫃
闀囨睙
212003)
鎽?/p>
瑕侊細
鍒╃敤灏忔尝鐨勫鍒嗚鲸鍒嗘瀽锛屼互鍙婂叾鑹ソ鐨勭┖闂村煙鍜岄鐜囧煙灞�閮ㄥ寲鐗圭偣锛岄拡瀵硅闊充俊鍙风壒寰侊紝閫夊彇閫?
褰撶殑灏忔尝绠楁硶杩涜鍘诲櫔鍜屽寮鸿闊筹紝鍘嬬缉缂栫爜锛屾彁鍙栬闊充俊鍙风壒寰佺瓑澶勭悊銆傞�氳繃
MATLAB
浠跨湡鍒嗘瀽锛屽緱鍒板
寮哄悗鐨勪俊鍙峰浘鍜屽帇缂╁悗鐨勫帇缂╂瘮鍙傛暟銆佽兘閲忎繚鐣欏弬鏁般�侀浂绯绘暟姣斾緥锛屾彁鍙栬闊充俊鍙风殑鐗瑰緛銆傜粨鏋滆〃鏄庯紝鍩?/p>
浜庡皬娉㈠彉鎹㈢殑涓庤闊充俊鍙峰鐞嗚〃鐜板嚭鑹ソ鐨勭壒鎬с�?/p>
鍏抽敭璇?/p>
锛?/p>
璇煶淇″彿澶勭悊
;
灏忔尝鍙樻崲
;
鍘诲櫔
;
澧炲己
;
鍘嬬缉缂栫爜
;
鐗瑰緛鎻愬彇
涓浘鍒嗙被鍙?/p>
:TB115
鏂囩尞鏍囪瘑鐮?/p>
:A
Wavelet Transformation Application in Speed Signal
Processing
XXX
(
Jiangsu University of science and technology, Zhenjiang 212003, Jiangsu, China
)
Abstract:
By the time-frequency analytic feature of wavelet transformation, the appropriate wavelet functions
are
selected
to
strengthen,
to
code,
to
compress
and
to
extract
signal
features
of
speech
according
to
the
characteristics
of
the
speech
signals.
Simulated
by
MATLAB,
the
strengthened
signals,
the
compression
ratio
parameter, the energy reservation parameter, the zero coefficient parameter and the speech signal features were
obtained.
The
results
show
that
the
speech
signal
processing
based
on
wavelet
transformation
exhibits
good
characteristics.
Keywords:
Speech Signal Processing; Wavelet Transformation; Strengthening; De-noising; Feature
extraction; Condensation encode
1
寮曡█
灏忔尝鍒嗘瀽鏄繎鍗佸嚑骞村彂灞曡捣鏉ョ殑涓�绉嶆柊鐨勬椂棰戝垎鏋愭柟娉曪紝瀹冩槸娉涘嚱鏁般�?/p>
Fourier
鍒嗘瀽銆?/p>
璋冨拰鍒嗘瀽銆佹暟瀛楀垎鏋愮殑鏈�瀹岀編鐨勭粨鏅讹紱鍦ㄥ簲鐢ㄩ鍩燂紝鐗瑰埆鏄湪淇″彿澶勭悊銆佸浘鍍忓鐞嗐�佽闊冲
鐞嗕互鍙婁紬澶氱殑闈炵嚎鎬у彲缁鍩燂紝瀹冭璁や负鏄户
Fourier
鍒嗘瀽涔嬪悗鐨勫張涓�鏈夋晥鐨勬椂棰戝垎鏋愭柟
娉曘�?/p>
灏忔尝鍙樻崲鏄紶缁熷倕閲屽彾鍙樻崲鐨勯泦鎴愬拰鍙戝睍銆?/p>
鐢变簬灏忔尝鐨勫鍒嗚鲸鍒嗘瀽鍏锋湁鑹ソ鐨勭┖闂村煙鍜?/p>
棰戠巼鍩熷眬閮ㄥ寲鐗规�э紝
閽堝鑱氱劍鍒板垎鏋愬璞＄殑浠绘剰缁嗚妭锛?/p>
鍥犳锛?/p>
鐗瑰埆閫傚悎浜庝俊鍙烽潪骞崇ǔ淇℃簮鐨?/p>
澶勭悊锛屽苟宸叉垚涓轰竴绉嶄俊鎭鐞嗙殑鏂版墜娈点�傜洰鍓嶏紝灏忔尝鍒嗘瀽宸叉垚鍔熷簲鐢ㄤ簬璇煶淇″彿澶勭悊銆?/p>
2
灏忔尝鐞嗚
2.1
杩炵画灏忔尝鍙樻崲