TW202105369A - 整合語音及雜訊活動偵測之低延時自動混波器 - Google Patents
整合語音及雜訊活動偵測之低延時自動混波器 Download PDFInfo
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- G10L21/0216—Noise filtering characterised by the method used for estimating noise
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- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0316—Speech enhancement, e.g. noise reduction or echo cancellation by changing the amplitude
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- G10L2021/03643—Diver speech
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- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0316—Speech enhancement, e.g. noise reduction or echo cancellation by changing the amplitude
- G10L21/0364—Speech enhancement, e.g. noise reduction or echo cancellation by changing the amplitude for improving intelligibility
- G10L2021/03646—Stress or Lombard effect
Abstract
本發明揭示用於使用音訊自動混波器提供語音及雜訊活動偵測之系統及方法,該等音訊自動混波器可排斥錯誤非語音或非人類雜訊,同時最大化信雜比且最小化音訊延時。
Description
本申請案大體上係關於用於提供與音訊自動混波器整合之低延時語音及雜訊活動偵測之系統及方法。特定言之,本申請案係關於用於使用音訊自動混波器提供語音及雜訊活動偵測之系統及方法,該等音訊自動混波器可排斥錯誤非語音或非人類雜訊,同時最大化信雜比且最小化音訊延時。
會議及簡報環境(諸如董事會、會議情境及類似物)可涉及使用多個麥克風或麥克風陣列波瓣來從各種音訊源捕獲聲音。例如,音訊源可包含人類說話者。可透過放大揚聲器(用於聲音加強)將所捕獲聲音傳播給環境中之一本地觀眾及/或遠離環境之其他者(諸如經由一電視廣播及/或一網路廣播)。麥克風或陣列波瓣之各者可形成一頻道。所捕獲聲音可作為多頻道音訊輸入且作為一單一混合音訊頻道提供。
通常,所捕獲聲音亦可包含環境中之錯誤非語音或非人類雜訊,諸如突然、衝擊或復現之聲音,如翻頁、開包及容器、咀嚼、打字等。為最小化所捕獲聲音中之錯誤雜訊,可將語音活動偵測(VAD)演算法及/或自動混波器應用於一麥克風或陣列波瓣之頻道。一自動混波器可自動減小一特定麥克風之音訊輸入信號之強度以在其未捕獲人類話音或語音時減輕背景、靜態或固定雜訊之貢獻。VAD係話音處理中使用之一技術,其中可偵測人類話音或語音的存在或不存在。另外,雜訊減少技術可減少某些背景、靜態或固定雜訊,諸如風扇及HVAC系統雜訊。然而,此等雜訊減少技術對於減少或排斥錯誤雜訊並不理想。
雖然當前系統中存在自動混合與VAD之組合,但此等組合通常無法固有地排斥錯誤雜訊(特定言之,具有能夠即時通信或與室內聲音加強一起使用之低音訊延時)。錯誤雜訊之排斥可損及典型自動混波器之效能,此係因為自動混波器通常依靠相對簡單的頻道選擇規則,諸如首次到達時間或一給定時刻之最高振幅。歸因於話音或語音之高延時及/或前端削波(FEC),整合自動混合與VAD之當前系統可並非最佳的。例如,可將額外音訊延時添加至一頻道以將一VAD之偵測延時對準至語音發生,以便最小化對話音或語音中之音節或字詞之FEC,但此可導致音訊串流中之不可接受延時。替代地,可藉由決定不添加音訊延時以將VAD偵測延時對準至音訊串流而接受FEC,但此可導致音訊串流中之不完整語音或話音。此等狀況可導致降低的使用者滿意度。再者,具有VAD之許多當前系統可僅利用一單一音訊頻道,其中有效操作無需考量在特定環境中發生之話音/語音與雜訊之空間關係。
此外,在一自動混合應用(具有單獨麥克風單元或使用來自一麥克風陣列之經操縱音訊波瓣)中,歸因於麥克風及/或波瓣之不完美聲學極性型樣(polar pattern),語音及錯誤雜訊可發生在相同環境中且可包含於全部麥克風及/或波瓣中。此可帶來VAD偵測能力(在一個別頻道及共同頻道兩者基礎上)、適當自動混波器頻道選擇(其嘗試避免錯誤雜訊,同時仍選擇含有語音之(若干)頻道)及抑制由於其等含有話音/語音而閘控開啟之波瓣中之錯誤雜訊方面的問題。
因此,系統及方法有機會解決此等問題。更特定言之,系統及方法有機會使用音訊自動混波器提供語音及雜訊活動偵測,該等音訊自動混波器可排斥錯誤非語音或非人類雜訊,同時最大化信雜比,增加可懂度,最小化音訊延時,且增加使用者滿意度。藉由組合自動混合原理與更先進語音活動偵測技術,可增強麥克風/波瓣選擇以最大化話音對錯誤雜訊之比。
本發明意欲藉由提供系統及方法而解決上文提及之問題,該等系統及方法尤其經設計以:(1)利用一經修改語音活動偵測器,其經更改以用作一雜訊活動偵測器以感測一頻道上是否存在語音或錯誤雜訊;(2)基於來自語音活動偵測器之度量及決策而執行額外頻道閘控,該等度量及決策可影響及/或更動由一自動混波器執行之頻道閘控;(3)減少或消除所捕獲語音/話音之前端削波之量;及(4)最小化來自最初可包含於一特定閘控開啟頻道中之錯誤雜訊之前端雜訊洩漏之效應。
在一實施例中,一種方法包含:判定最初由一混波器閘控開啟之一頻道之一音訊信號中是否存在非話音音訊,其中該混波器基於最初閘控開啟之該頻道之至少該音訊信號產生一混合音訊信號;及在判定最初閘控開啟之該頻道之該音訊信號中存在該非話音音訊時,藉由閘控關閉最初閘控開啟之該頻道而更動該混波器以導致該混波器產生不具有最初閘控開啟之該頻道之該音訊信號之該混合音訊信號。
在另一實施例中,一種系統包含一活動偵測器,其經組態以判定最初由一混波器閘控開啟之一頻道之一音訊信號中是否存在非話音音訊,其中該混波器經組態以基於最初閘控開啟之該頻道之至少該音訊信號而產生一混合音訊信號。該系統亦包含一頻道閘控模組,其與該活動偵測器通信,且該頻道閘控模組經組態以在由該活動偵測器判定最初閘控開啟之該頻道之該音訊信號中存在該非話音音訊時更動該混波器以導致該混波器閘控關閉最初閘控開啟之該頻道且產生不具有最初閘控開啟之該頻道之該音訊信號之該混合音訊信號。
從闡述指示可採用本發明之原理之各種方式之闡釋性實施例之以下[實施方式]及隨附圖式將明白且更充分理解此等及其他實施例以及各種置換及態樣。
相關申請案之交叉參考
本申請案主張2019年5月31日申請之美國臨時專利申請案第62/855,491號之權利,該案之全部內容以引用的方式併入本文中。
以下描述描述、繪示且例示根據本發明之原理之本發明之一或多項特定實施例。此描述並非被提供來將本發明限制於本文中描述之實施例,而是用於說明及教示本發明之原理,使得一般技術者能夠理解此等原理且運用該理解而能夠應用該等原理以不僅實踐本文中描述之實施例,而且實踐可根據此等原理想到的其他實施例。本發明之範疇意欲涵蓋在字面上或根據等同原則可落在隨附發明申請專利範圍之範疇內的全部此等實施例。
應注意,在描述及圖式中,相似或實質上類似元件可使用相同元件符號標記。然而,此等元件有時可使用不同數字標記,諸如(例如)在此標記有利於一更清楚描述之情況中。另外,本文中闡述之圖式不一定按比例繪製,且在一些例項中,比例可能已誇大以更清楚地描繪某些特徵。此等標記及圖式實踐不一定暗指一潛在實質目的。如上文陳述,本說明書意欲被視為一整體且根據如本文中教示且為一般技術者所理解之本發明之原理解釋。
本文中描述之系統及方法可從一自動混波器產生一混合音訊信號,該自動混波器減少且最小化在一環境中感測到之錯誤非語音或非人類雜訊之貢獻。該等系統及方法可結合一語音活動偵測器(或錯誤雜訊活動偵測器)利用一自動混波器,其等各做出獨立頻道閘控決策。自動混波器可基於頻道選擇規則而閘控開啟或關閉特定頻道,而語音/錯誤雜訊活動偵測器可取決於是否在由自動混波器閘控開啟之頻道中偵測到語音或錯誤雜訊而更動自動混波器之頻道閘控決策。來自語音/錯誤雜訊活動偵測器之度量(諸如一可信度得分)亦可影響頻道閘控決策及/或影響自動混波器中之各頻道之相對選定混合。為支援一低延時音訊輸出,在語音/錯誤雜訊活動偵測器能夠更動音訊混波器之前,一些錯誤雜訊可洩漏至音訊混合中。該等系統及方法可容許此行為,同時最小化此頻道閘控雜訊開始之能量及主觀音訊品質影響。此容許最小化來自洩漏至頻道中的錯誤雜訊之能量,同時維持低延時。
圖1係可用於排斥錯誤雜訊之一系統100之一示意圖,其包含麥克風102、一混波器104及一語音活動偵測器108。圖2係用於使用圖1之系統100排斥錯誤雜訊之一程序200之一流程圖。系統100及程序200可導致具有最佳信雜比且包含所要語音之一混合音訊信號之輸出,同時最小化錯誤雜訊之包含或貢獻。
例如,諸如會議室之環境可利用系統100來促進與一遠端位置處之人員之通信。麥克風102之類型及其等在一特定環境中之放置可取決於音訊源之位置、實體空間要求、美觀、房間佈局及/或其他考量。例如,在一些環境中,可將麥克風放置於音訊源附近之一桌或講桌上。例如,在其他環境中,可將麥克風安裝在頂上以從整個房間捕獲聲音。通信系統100可與任何類型及任何數目之麥克風102一起工作。包含於通信系統100中之各種組件可使用可藉由一或多個伺服器或電腦(諸如具有一處理器及記憶體、圖形處理單元(GPU)之一運算器件)執行之軟體及/或藉由硬體(例如,離散邏輯電路、特定應用積體電路(ASIC)、可程式化閘陣列(PGA)、場可程式化閘陣列(FPGA)等)來實施。
一般言之,根據實施例之一電腦程式產品包含具有體現在其中之電腦可讀程式碼之一電腦可用儲存媒體(例如,標準隨機存取記憶體(RAM)、一光碟、一通用串列匯流排(USB)隨身碟或類似物),其中電腦可讀程式碼經調適以由一處理器執行(例如,與一作業系統一起工作)以實施下文描述之方法。就此而言,程式碼可以任何所要語言實施,且可被實施為機器碼、組合碼、位元組碼、可解譯原始碼或類似物(例如,經由C、C++、Java、Actionscript、Objective-C、Javascript、CSS、XML及/或其他)。
參考圖1,系統100可包含麥克風102、混波器104、一預混波器106、一語音活動偵測器108及一頻道閘控模組110。麥克風102之各者可偵測環境中之聲音且將聲音轉換為一音訊信號且形成一頻道。在實施例中,來自麥克風102之一些或全部音訊信號可由一波束成形器(未展示)處理以產生一或多個波束成形音訊信號,如此項技術中已知。因此,雖然該等系統及方法在本文中被描述為使用來自麥克風102之音訊信號,但可預期,該等系統及方法亦可利用任何類型之聲源,諸如由一波束成形器產生之波束成形音訊信號。
可由混波器104、預混波器106及語音活動偵測器108接收來自麥克風102之各者之音訊信號,諸如在圖2中展示之程序200之步驟202。混波器104可最終產生及輸出一混合音訊信號,該混合音訊信號可保形於一所要音訊混合,使得強調來自某些麥克風之音訊信號且解強調(deemphasize)或抑制來自其他麥克風之音訊信號。音訊混波器之例示性實施例在共同讓與之專利(美國專利第4,658,425號及美國專利第5,297,210號)中揭示,該等案之各者之全部內容以引用的方式併入本文中。
來自混波器104之混合音訊信號可包含來自使用系統100閘控開啟之一或多個頻道之貢獻,即,來自麥克風102之音訊信號。混波器104及頻道閘控模組110可回應於判定所捕獲音訊含有人類話音及/或根據某些頻道選擇規則而閘控開啟一或多個頻道以提供不具有抑制(或在某些實施例中,具有最小抑制)之所捕獲音訊。混波器104及頻道閘控模組110亦可回應於判定一頻道中之所捕獲音訊係一背景、靜態或固定雜訊而閘控關閉一或多個頻道以減小某些所捕獲音訊之強度。由混波器104及頻道閘控模組110判定頻道閘控可在步驟204發生。混波器104及頻道閘控模組110可為對應於複數個麥克風或陣列波瓣102之複數個頻道呈現一頻道閘控決策。程序200可繼續至步驟206。
在步驟206,若一頻道在步驟204被判定為閘控關閉,則程序200可繼續進行至步驟218且混波器104可輸出不包含閘控關閉頻道之一混合音訊信號。然而,在步驟206,若一頻道在步驟204被判定為閘控開啟,則程序200可繼續至步驟208,其中在某些實施例中可應用一非話音解強調濾波器,其用作一頻寬限制濾波器(諸如一低通濾波器、一帶通濾波器或線性預測編碼(LPC))以主觀地最小化前端雜訊洩漏,如下文進一步詳細描述。
在步驟210亦可由語音活動偵測器(VAD) 108接收來自麥克風102之音訊信號。VAD 108可在步驟210執行一演算法以判定一特定頻道中是否存在語音或相反地一特定頻道中是否存在雜訊。例如,若VAD 108發現一特定頻道中存在語音(或未發現雜訊),則VAD 108可認為該頻道包含語音或「非雜訊」。類似地,若VAD 108未發現一特定頻道中存在語音(或發現雜訊),則可認為該頻道包含雜訊或「非語音」。在實施例中,VAD 108可藉由分析音訊信號之頻譜方差,使用線性預測編碼(LPC),應用機器學習或深度學習技術來偵測語音及/或使用諸如ITU G.729 VAD、包含於GSM規範中之VAD計算之ETSI標準或長期間距預測之熟知技術來實施。
藉由識別一特定頻道是否含有錯誤雜訊(即,「非語音」),系統100可更動由混波器104及頻道閘控模組110做出之決策以閘控開啟頻道且隨後閘控關閉此等頻道,使得錯誤雜訊最終不包含於從混波器104輸出之混合音訊信號中。特定言之,在步驟212,若在步驟210判定一頻道中存在錯誤雜訊,則程序200可繼續至步驟220。在步驟220,歸因於錯誤雜訊之偵測,可更動混波器104及頻道閘控模組110對閘控開啟頻道之決策,且頻道可被閘控關閉。程序200可繼續至步驟218,其中混波器104可輸出不包含來自現在閘控關閉之頻道之貢獻之一混合音訊信號。在實施例中,來自VAD 108之一可信度得分可用於判定可更動混波器104對閘控開啟頻道之決策以閘控關閉頻道及/或用於影響自動混波器中之各頻道之相對選定混合。
然而,在步驟212,若在步驟210判定頻道中存在語音(即,「非雜訊」),則程序200可繼續至步驟214。在步驟214,可移除在步驟208應用之濾波器,如下文更詳細描述。在步驟216,可藉由混波器104維持頻道之閘控開啟,且在步驟218,混波器104可輸出包含此頻道之一混合音訊信號。
在實施例中,由VAD 108用於識別一頻道中是否存在語音或雜訊之步驟210及212可並行執行或僅在混波器104及頻道閘控模組110已在步驟204及206判定頻道閘控決策之後執行。例如,VAD 108可在一預定時間週期內收集及緩衝來自輸入音訊信號之音訊資料,以便具有足夠資訊來判定頻道是否包含語音或雜訊。因而,在混波器104之決策與VAD 108之決策(關於是否更動或不更動混波器104及頻道閘控模組110之決策)之間的時間週期內,錯誤雜訊可暫時貢獻於混合音訊信號。在一小時間週期內之錯誤雜訊之此貢獻可被稱作前端雜訊洩漏(FENL)。與前端削波相比,在一混合音訊信號中發生FENL可被視為對於混合音訊信號之聽眾而言更期望且較不明顯的。可透過控制FENL時間週期之振幅及頻率含量及該FENL所容許之選定時間長度而最小化容許FENL之主觀影響。
在實施例中,混波器104可包含一閘控狀態機,該閘控狀態機基於混波器104、頻道閘控模組110及VAD 108之決策而控制頻道閘控之最終應用。狀態機可包含:(1)一FEC時間週期,其由混波器104及頻道閘控模組110之設計以外的演算法設計控制且延時閘控開啟時間;(2)在FENL時間週期期間之一特定持續時間,其中混波器104及頻道閘控模組110具有對頻道閘控的完全控制;及/或(3)一最終時間週期,其中來自VAD 108之閘控指示可與來自混波器104及頻道閘控模組110之閘控指示進行邏輯AND。當混波器104及頻道閘控模組110之閘控指示返回至閘控關閉一頻道時,閘控狀態機可返回至其起始條件。在圖3中展示閘控狀態機之一描繪。
可使用如下文詳述之各種技術藉由最小化可暫時洩漏至一特定頻道中之錯誤雜訊之能量及頻譜貢獻而最小化FENL對混合音訊信號之貢獻。最小化FENL對混合音訊信號之貢獻可在FENL可發生之時間週期期間減小對混合音訊信號中之話音及語音之影響。在一些實施例中,此FENL最小化技術可在預混波器106中實施。
在一些實施例中,預混波器106可從語音活動偵測器108接收狀態資訊。狀態資訊可包含自動混波器閘控旗標、VAD/NAD指示符及FENL時間週期之一組合。預混波器106可利用狀態資訊來判定隨時間應用振幅衰減及頻率濾波。混波器104可從預混波器106接收經處理音訊信號。從預混波器106至混波器104之經處理音訊信號之數目在一些實施例中可相同於麥克風102之數目或在其他實施例中可小於麥克風102之數目。
一種技術可包含應用一衰減閘控開啟振幅直至VAD 108可肯定地確證混波器104閘控開啟一頻道之決策。在FENL時間週期期間衰減一頻道可減小錯誤雜訊之影響,同時具有對混合音訊信號中之話音之可懂度之一相對不顯著影響。此技術可在預混波器106中藉由在步驟209將一簡單衰減應用於自動混波器當前已在FENL時間週期窗內閘控開啟之頻道且在步驟215移除衰減之應用而實施。FENL時間週期窗在一計時器期滿之後退出,其對應於容許雜訊洩漏而不有形地影響話音之主觀音訊品質之時間長度。
另一技術可包含在FENL時間週期期間減小音訊頻寬。在此案例中,減小音訊頻寬可在FENL時間週期期間維持混合音訊信號中之話音或語音之可懂度之最重要頻率,同時顯著減小具有某一時間週期(例如,幾毫秒)之全頻帶FENL之影響。此技術可在預混波器106中藉由在步驟208應用非話音解強調濾波器且在步驟214移除非話音解強調濾波器之應用而實施,如上文描述。例如,在步驟208,可在混波器104已對是否閘控開啟或關閉一頻道做出決策(例如,在步驟204及206)之後但在VAD 108對一頻道中是否存在語音或雜訊做出決策之前應用一低通濾波器。一旦VAD 108已對一頻道中存在語音做出決策(例如,在步驟210及212),便可在步驟214移除非話音解強調濾波器之應用。在實施例中,預混波器106中之非話音解強調濾波器可為與來自麥克風102之未處理音訊信號交叉衰落之一靜態二階巴特沃斯(Butterworth)濾波器。在其他實施例中,預混波器106中之非話音解強調濾波器可被實施為串聯之兩個一階低通濾波器,其中可藉由隨時間移動濾波器之極點之位置而應用更多或更少濾波,此提供對隨時間獨立且適應性地限制低頻及高頻之頻寬之控制。此等濾波器之適應性控制可對應於FENL計時器參數或VAD可信度度量。在其他實施例中,預混波器106中之非話音解強調濾波器可被實施為藉由採用線性預測編碼而保留話音之共振峰結構之一更複雜頻寬限制濾波器。
另一技術可包含更改音訊之波峰因數以最小化雜訊感知。許多類型之錯誤雜訊可具有高於人類話音之波峰因數。一持續高波峰因數可被一人類感知為響度。藉由在FENL區域期間將音訊之波峰因數壓縮至等於或低於人類話音之波峰因數,可維持人類話音之可懂度,同時降低一錯誤雜訊之所感知響度。在一些實施例中,可動態地壓縮具有高於一目標之一瞬時時域波峰因數之信號以維持所要波峰因數。在其他實施例中,壓縮可被修改為一限制器以進一步確保所得音訊具有所要波峰因數。
一進一步技術可包含引入預定量之FEC,其可在心理聲學上最小化急劇暫態錯誤雜訊(例如,筆卡嗒聲、書本掉落在一桌上等),而不顯著地影響語音之主觀品質(其通常不展現一暫態開始)。在此狀況中,可進一步精化引入之FEC以模擬一暫態錯誤雜訊之逆包絡,此可顯著地減少雜訊感知而不完全移除FENL時間週期期間將發生一靜態衰減之話音開始。此可在步驟209中實施且在步驟215中藉由應用一時變而非靜態衰減而移除。藉由使用此等技術之一或多者,可最小化至未偵測之混合音訊信號中之錯誤雜訊洩漏之影響直至VAD 108可對頻道中是否存在語音或雜訊做出決策。因此,此可在不增加音訊路徑延時的情況下為話音可懂度提供一益處。
可透過使用適應性技術而增強上文描述之FENL最小化技術,該等適應性技術可自動修改行為,該等行為更佳地匹配系統100在操作之環境。此等適應性技術可控制上文描述之閘控狀態機之時間參數以及諸如逆FEC包絡形狀、頻寬減小值、FENL時間週期期間之衰減量、FENL最小化時間進/出行為及/或混波器104之時間彈道之參數以閘控關閉VAD 108已識別為含有錯誤雜訊之一頻道。
在實施例中,系統100可收集各頻道之統計(對應於複數個麥克風或陣列波瓣102之各者)以識別一特定頻道是否平均含有語音/話音或雜訊。例如,在一特定環境中,一個頻道可指向一門,而另一頻道指向一主席位置。在此環境中,隨著時間推移,系統100可判定指向門之頻道幾乎唯一地係錯誤雜訊且指向主席位置之頻道幾乎唯一地係語音。作為回應,系統100可調諧指向門之頻道以應用更長強制FEC,使用更積極FENL最小化參數,及/或導致閘控狀態機在閘控決策方面給予VAD 108額外優先級。相反地,系統100可調諧指向主席位置之頻道以消除FEC,減少FENL最小化技術之使用,及/或導致閘控狀態機在一較長時間週期內為混波器104提供閘控控制(此可繼而迫使VAD 108在更動及閘控關閉頻道之前對其關於雜訊之決策更有信心)。
另一技術可包含系統100僅容許在VAD 108已達到一特定頻道上之高可信度之一臨限值位準時訓練調適。此可減輕應用於FENL最小化技術之調適行為中之假陽性及/或假陰性。一進一步技術可包含系統100在一音訊週期內對隨後藉由VAD 108標記為雜訊之一閘控開啟頻道之音訊包絡資料進行取樣及分析,以便更新上文描述之逆FEC包絡形狀。
在實施例中,適應性行為亦可應用於閘控關閉一頻道之程序。例如,在正常話音期間,系統100可應用一緩慢斜波來閘控關閉一頻道,以便最小化對音訊之雜訊底限上升及下降或改變之感知。作為另一實例,在存在雜訊的情況下,系統100可應用一快速斜波來閘控關閉一頻道,以便最大化回應於VAD 108之一決策而閘控關閉頻道之有效性。在實施例中,系統100可組合來自混波器104及VAD 108之資訊以判定閘控關閉一頻道之原因。此資訊可用於動態地更改一頻道閘控關閉之速度。另外,斜波之不均勻斜率可用於在感知上最佳化錯誤雜訊及話音條件兩者。
系統100可包含解決麥克風或波瓣102之間的不完美音訊選擇性(此可導致許多或全部頻道具有語音及錯誤雜訊兩者)之進一步技術。在此狀況中,簡單地閘控關閉含有最高量之錯誤雜訊之一特定頻道可無法完全消除來自混合音訊信號之錯誤雜訊。此可導致一些錯誤雜訊仍存在於含有語音之閘控開啟頻道中。解決此狀況之一種技術可包含在預混波器106中使用一雜訊洩漏濾波器。可在VAD 108已對一特定頻道中存在語音做出決策之後的時間部分期間應用雜訊洩漏濾波器。若已判定一不同頻道包含錯誤雜訊(即,混波器104對閘控開啟該不同頻道之決策已被VAD 108更動),則雜訊洩漏濾波器可被應用於具有語音之頻道,以便減輕雜訊至具有語音之頻道中之高頻洩漏。換言之,可在至少一個頻道被識別為包含錯誤雜訊而其他頻道被識別為不具有錯誤雜訊(即,具有語音)時應用雜訊洩漏濾波器。在實施例中,預混波器106中之雜訊洩漏濾波器可為與來自麥克風102之未處理音訊信號交叉衰落之一靜態二階巴特沃斯濾波器。在其他實施例中,預混波器106中之雜訊洩漏濾波器可被實施為串聯之兩個一階低通濾波器,其中可藉由隨時間移動濾波器之極點之位置而應用更多或更少濾波,此提供對隨時間獨立且適應性地限制低頻及高頻之頻寬之控制。此等濾波器之適應性控制可對應於被識別為雜訊之其他頻道之數目或VAD可信度度量。在其他實施例中,預混波器106中之雜訊洩漏濾波器可被實施為藉由採用線性預測編碼而保留話音之共振峰結構之一更複雜頻寬限制濾波器。
例如,通常在由混波器104閘控關閉一特定頻道時,混波器104可衰減該頻道中之音訊信號(例如,藉由應用-15 dB衰減),以便保留房間存在,在各種頻道被閘控開啟及關閉時具有雜訊底限一致性,且減小FEC對隨後閘控開啟之一頻道之影響。藉由使用上文描述之雜訊洩漏濾波器,系統100可減小被閘控開啟之頻道之頻寬,使得保留話音可懂度之頻率,同時排斥錯誤雜訊之頻率。此可導致減輕至被閘控開啟之頻道中之錯誤雜訊洩漏。
在某些實施例中,為進一步減小錯誤雜訊之貢獻,當一或多個頻道被VAD 108識別為含有錯誤雜訊時,系統100可應用一額外衰減(即,從-15 dB改變為-25 dB)至全部閘控關閉頻道且減小此等頻道之頻寬。
應注意,可在系統100中利用標準靜態雜訊減少技術。在實施例中,VAD 108可利用來自麥克風102之尚未減少雜訊之音訊信號。VAD 108使用非雜訊減少音訊信號,使得VAD 108可基於音訊信號之原始雜訊底限而做出其決策可為更佳的。
在此申請案中,轉折詞之使用意欲包含連接詞。定冠詞或不定冠詞之使用不意欲指示基數。特定言之,對「該」物件或「一」及「一個」物件之一參考亦意欲指示可能複數個此等物件之一者。此外,連接詞「或」可用於傳達同時存在之特徵而非相互排斥之替代詞。換言之,連接詞「或」應被理解為包含「及/或」。術語「包含(includes、including及include)」係涵蓋性的且分別具有相同於「包括(comprises、comprising及comprise)」之範疇。
圖中之任何程序描述或方塊應被理解為表示程式碼之模組、片段或部分,其等包含用於實施程序中之特定邏輯功能或步驟之一或多個可執行指令,且如一般技術者將瞭解,替代實施方案被包含於本發明之實施例之範疇內,其中取決於所涉及之功能性,可依不同於所展示或論述之順序(包含實質上同時或以相反順序)執行功能。
本發明意欲說明如何根據本技術改變及使用各種實施例而非限制本發明之真實、預期及公平範疇以及精神。前述描述並不意欲為詳盡的或限於所揭示之精確形式。鑑於上文教示之修改或變動係可行的。選取且描述(若干)實施例以提供對所描述技術之原理及其實際應用之最佳繪示,且使一般技術者能夠在各種實施例中且以適合於所設想之特定用途之各種修改利用本技術。全部此等修改及變動在根據其等被公平地、合法地且公正地授權之廣度解釋時,在如由如可在本專利申請案待審期間修訂之隨附發明申請專利範圍及其全部等效物判定之實施例之範疇內。
100:系統
102:麥克風
104:混波器
106:預混波器
108:語音活動偵測器
110:頻道閘控模組
200:程序
202:步驟
204:步驟
206:步驟
208:步驟
209:步驟
210:步驟
212:步驟
214:步驟
215:步驟
216:步驟
218:步驟
220:步驟
圖1係根據一些實施例之用於頻道閘控之包含一混波器及一語音活動偵測器之一系統之一示意圖。
圖2係繪示根據一些實施例之用於使用圖1之系統閘控來自麥克風之頻道之操作之一流程圖。
圖3係根據一些實施例之在圖1之系統之混波器中使用之一例示性閘控狀態機之一圖。
100:系統
102:麥克風
104:混波器
106:預混波器
108:語音活動偵測器
110:頻道閘控模組
Claims (21)
- 一種方法,其包括: 判定最初由一混波器閘控開啟之一頻道之一音訊信號中是否存在非話音音訊,其中該混波器基於最初閘控開啟之該頻道之至少該音訊信號而產生一混合音訊信號;及 在判定最初閘控開啟之該頻道之該音訊信號中存在該非話音音訊時,藉由閘控關閉最初閘控開啟之該頻道而更動該混波器以導致該混波器產生不具有最初閘控開啟之該頻道之該音訊信號之該混合音訊信號。
- 如請求項1之方法,其進一步包括在(1)該混波器判定閘控開啟最初閘控開啟之該頻道與(2)判定最初閘控開啟之該頻道之該音訊信號中是否存在該非話音音訊之間的一持續時間期間最小化最初閘控開啟之該頻道之該音訊信號中之前端雜訊洩漏。
- 如請求項1之方法,其進一步包括將一非話音解強調濾波器應用於最初閘控開啟之該頻道之該音訊信號。
- 如請求項3之方法,其進一步包括: 判定最初閘控開啟之該頻道之該音訊信號中是否存在話音音訊;及 當判定最初閘控開啟之該頻道之該音訊信號中存在該話音音訊時,從最初閘控開啟之該頻道之該音訊信號移除該非話音解強調濾波器。
- 如請求項3之方法,其進一步包括在(1)該混波器判定閘控開啟最初閘控開啟之該頻道與(2)判定最初閘控開啟之該頻道之該音訊信號中是否存在該非話音音訊之間的一持續時間消逝之後從最初閘控開啟之該頻道之該音訊信號移除該非話音解強調濾波器。
- 如請求項1之方法,其進一步包括衰減最初閘控開啟之該頻道之該音訊信號。
- 如請求項6之方法,其進一步包括: 判定最初閘控開啟之該頻道之該音訊信號中是否存在話音音訊;及 當判定最初閘控開啟之該頻道之該音訊信號中存在該話音音訊時,從最初閘控開啟之該頻道之該音訊信號移除該衰減。
- 如請求項6之方法,其進一步包括在(1)該混波器判定閘控開啟最初閘控開啟之該頻道與(2)判定最初閘控開啟之該頻道之該音訊信號中是否存在該非話音音訊之間的一持續時間消逝之後從最初閘控開啟之該頻道之該音訊信號移除該衰減。
- 如請求項1之方法,其進一步包括將一時變衰減應用於最初閘控開啟之該頻道之該音訊信號。
- 如請求項9之方法,其進一步包括: 判定最初閘控開啟之該頻道之該音訊信號中是否存在話音音訊;及 當判定最初閘控開啟之該頻道之該音訊信號中存在該話音音訊時,從最初閘控開啟之該頻道之該音訊信號移除該時變衰減。
- 如請求項9之方法,其進一步包括在(1)該混波器判定閘控開啟最初閘控開啟之該頻道與(2)判定最初閘控開啟之該頻道之該音訊信號中是否存在該非話音音訊之間的一持續時間消逝之後從最初閘控開啟之該頻道之該音訊信號移除該時變衰減。
- 如請求項1之方法,其進一步包括將一波峰因數壓縮器或一波峰因數限制器之一或多者應用於最初閘控開啟之該頻道之該音訊信號。
- 如請求項12之方法,其進一步包括: 判定最初閘控開啟之該頻道之該音訊信號中是否存在話音音訊;及 當判定最初閘控開啟之該頻道之該音訊信號中存在該話音音訊時,從最初閘控開啟之該頻道之該音訊信號移除該波峰因數壓縮器或該波峰因數限制器之該一或多者。
- 如請求項12之方法,其進一步包括在(1)該混波器判定閘控開啟最初閘控開啟之該頻道與(2)判定最初閘控開啟之該頻道之該音訊信號中是否存在該非話音音訊之間的一持續時間消逝之後從最初閘控開啟之該頻道之該音訊信號移除該波峰因數壓縮器或該波峰因數限制器之該一或多者。
- 如請求項1之方法,其進一步包括當判定最初閘控開啟之該頻道之該音訊信號中存在該非話音音訊時,在閘控關閉之後將額外衰減應用於最初閘控開啟之該頻道。
- 如請求項2之方法,其進一步包括基於最初閘控開啟之該頻道歷史上是否含有該非話音音訊或話音音訊而修改與最小化該前端雜訊洩漏相關之參數。
- 如請求項1之方法,其中更動該混波器包括藉由控制閘控關閉最初閘控開啟之該頻道之一速率而更動該混波器。
- 如請求項1之方法,其進一步包括: 判定最初閘控開啟之該頻道之該音訊信號中是否存在話音音訊; 判定最初由該混波器閘控開啟之一第二頻道之一第二音訊信號中是否存在非話音音訊;及 當判定最初閘控開啟之該頻道之該音訊信號中存在該話音音訊時且當判定最初閘控開啟之該第二頻道之該第二音訊信號中存在該非話音音訊時,將一雜訊洩漏濾波器應用於最初閘控開啟之該頻道之該音訊信號。
- 如請求項1之方法,其進一步包括基於(1)一頻道選擇規則或(2)最初閘控開啟之該頻道之該音訊信號是否含有話音音訊而判定閘控開啟最初由該混波器閘控開啟之該頻道。
- 一種系統,其包括: 一活動偵測器,其經組態以判定最初由一混波器閘控開啟之一頻道之一音訊信號中是否存在非話音音訊,其中該混波器經組態以基於最初閘控開啟之該頻道之至少該音訊信號而產生一混合音訊信號;及 一頻道閘控模組,其與該活動偵測器通信,該頻道閘控模組經組態以在由該活動偵測器判定最初閘控開啟之該頻道之該音訊信號中存在該非話音音訊時更動該混波器以導致該混波器: 閘控關閉最初閘控開啟之該頻道;及 產生不具有最初閘控開啟之該頻道之該音訊信號之該混合音訊信號。
- 如請求項20之系統,其進一步包括一預混波器,其與該混波器通信,該預混波器經組態以在(1)該混波器判定閘控開啟最初閘控開啟之該頻道與(2)該活動偵測器判定最初閘控開啟之該頻道之該音訊信號中是否存在該非話音音訊之間的一持續時間期間最小化最初閘控開啟之該頻道之該音訊信號中之前端雜訊洩漏。
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