7-Speech Quality Assessment
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- Duane Stokes
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1 7-Speech Quality Aeet Quality Level Subjective Tet Objective Tet Itelligibility Naturale
2 Quality Level Sythetic Quality Uder 4.8 kbp Couicatio Quality 4.8 to 3 kbp Toll Quality 3 to 64 kbp Broadcat Quality Upper tha 64 kbp
3 Tet Type Itelligibility Naturale Subjective DRT, MRT MOS, DAM Objective Noe. Future ASR yte AI, Global SNR, Seg. SNR, FW-Seg. SNR, Itakura Meaure, WSSM
4 Firt Cla Subjective Itelligibility Tet Diagotic Rhye Tet DRT Selectig betwee two CVC by differet firt C Firt C hould have pecific propertie Ex. hop - fop Ad tha - da Modified Rhye Tet MRT Selectig betwee CVC by differet firt C Ex. Cat, bat, rat, at, fat, at
5 Firt Cla Cot d Subjective Itelligibility tet DRT i very applicable ad credible I thi tet uer ca hear the peech oly oce DRT N N % Correct Icorrect 00 N Tet
6 Secod Cla Subjective Naturale tet Mea Opiio Score MOS MOS i very applicable ad credible I thi tet uer ca hear the peech a lot Diagotic Acceptability Meaure DAM Thi tet i very coplex
7 Mea Opiio Score MOS Score for MOS are like thi Score Speech Quality Not Acceptable Weak Mediu Good Excellet
8 Diagotic Acceptability Meaure DAM Thi tet i very coplex I thi tet there i 9 differet paraeter for core. Thee paraeter divide ito 3 ai group: Sigal Quality Backgroud Quality Total Quality
9 Objective Tet Thee tet ca ot be ued for itelligibility. Becaue yte could t recogize peech itelligibility Objective tet ca oly be ued for peech Naturale
10 Objective Tet Cot d Articulatio Idex AI Sigal to Noie Ratio SNR Global Claic SNR Segetal SNR Frequecy Weighted Segetal SNR
11 Articulatio Idex AI AI aue that differet frequecy bad ditortio are idepedet, ad eaure igal quality i differet bad. I each bad deterie percetage of perceptible igal by liteer 20 Bad HZ
12 Articulatio idex Cot d Perceptible by uer igal : - Upper tha hua hearig threhold 2- Uder tha hua pai threhold 3- Upper tha Makig Noie level I each cae oe of the tate or 3 i prevail
13 Articulatio idex Cot d I AI SNR eaured iolated i each bad AI j Mi SNR,30 30
14 Sigal To Noie RatioSNR ˆ E 2 2 ] ˆ [ E 2 global E E SNR 2 2 ] ˆ [ 0log 0log
15 Segetal SNR N j M M eg j j j j N SNR 2 2 ] ] ˆ [ [ 0log j th Frae SNR N : Nuber of frae M: Frae legth Uually averaged over good frae good frae : havig SNR of higher tha -0dB ad Saturated at +30dB
16 Frequecy Weighted Segetal SNR Siee Forula: SNR FWS = N k= N F W k j= w j,k 2 0log 0 [ ] 2 W k = F w j,k j= F : Nuber of frequecy bad N : Nuber of frae
17 Frequecy Weighted Segetal SNR Deller Forula SNR K w 0log [ E E ] M j, k 0, k j, k j k fw eg 0log 0[ ] K M j 0 w j, k k
18 Frequecy Weighted Segetal SNR Other Forula: SNR E M K, k j fw eg 0log0 w K j, k M j0 k E, k j w j, k k SNR K w 0log [ E E ] M j, k 0, k j, k j k fw eg K M j 0 w j, k k
19 The Fial Forula The right forula for fw-eg SNR i thu: SNR K w 0log [ E E ] M j, k 0, k j, k j k fw eg K M j 0 w j, k k
20 The Fial Forula Where M i the uber of frae j i the frae idex k i the frequecy bad idex wj,k i the weight of the kth bad of the jth frae E,k ad Ee,k are the eergie of the kth bad of igal ad oie repectively
21 Itakura Meaure H S H I the evelope pectru S F{ R } S X Ue fro All-Pole AR Model 2
22 Itakura Meaure Cot d H a i p i a i e j Thi i baed o the pectru differece betwee ai igal ad aeet igal Autoregreive Coefficiet K i Reflectio Coefficiet R i Autocorrelatio Coefficiet
23 Itakura Meaure Cot d M l l g l g M g g d 2 ˆ ˆ ],, [, :Idex of frae l : Idex of coefficiet
24 Itakura Meaure Cot d ',, ˆ ',, ˆ ] '],, [ [ ', ~ M l l M l l lp W l l W d, l I the l th paraeter of the frae that coduce th aple
25 Weighted Spectral Slope Meaure WSSM k, k, k, ˆ k, ˆ k, ˆ k, k, ad k, are i db. k, d WSSM K, 36 k I STFT of k th bad of the frae that coduce th aple W, ˆ, ˆ 2 k, [ k, k, ]
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