From c8495f8c4df9fa397fff192c13a687593c9b77a8 Mon Sep 17 00:00:00 2001 From: Yibing Liu Date: Thu, 8 Jun 2017 11:57:41 +0800 Subject: [PATCH 1/4] update ctc_beam_search_decoder design doc --- doc/design/speech/README.MD | 13 ++++++++++++- doc/design/speech/image/beam_search.png | Bin 0 -> 474749 bytes 2 files changed, 12 insertions(+), 1 deletion(-) create mode 100644 doc/design/speech/image/beam_search.png diff --git a/doc/design/speech/README.MD b/doc/design/speech/README.MD index 7304650e628db..cc03aac7b4970 100644 --- a/doc/design/speech/README.MD +++ b/doc/design/speech/README.MD @@ -140,7 +140,17 @@ TODO by Assignees ### Beam Search with CTC and LM -TODO by Assignees +
+
+Figure 2. Algorithm for Beam Search Decoder. +
+ +- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2. +- An **external defined scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a space character appended. +- Such scorer is a unified class, may consisting of language model, word count or any customed evaluators. +- The **language model** is built from Task 5, with a parameter should be carefully tuned to achieve minimum WER/CER (c.f. Task 7) +- This decoder needs to perform with **high efficiency** for the convenience of parameters tuning and speech recognition in reality. + ## Future Work @@ -153,3 +163,4 @@ TODO by Assignees 1. Dario Amodei, etc., [Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin](http://proceedings.mlr.press/v48/amodei16.pdf). ICML 2016. 2. Dario Amodei, etc., [Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin](https://arxiv.org/abs/1512.02595). arXiv:1512.02595. +3. Awni Y. Hannun, etc. [First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs](https://arxiv.org/abs/1408.2873). arXiv:1408.2873 diff --git a/doc/design/speech/image/beam_search.png b/doc/design/speech/image/beam_search.png new file mode 100644 index 0000000000000000000000000000000000000000..7f7e35f34223162d0f7f0ed97375909c43b830ae GIT binary patch literal 474749 zcmaI61C*pevMAh`p0;h^fl!Yg`?_# zDcI5a(NGb&p!IE|3o9o&*Zmec$|3QqeouMWaXg*^TyJ`wbO5G0nL+(JX{888`B8yJ z4^NLjgJLzf5wwKt&Rh`>n>$?A;M=L)Kw)B@OwvV(&|&rD-5cC=s&CzR}5! z?--CpjTqG_4%e}u|B3Z>;|PFR?)+}R`PO1$7B+M|?H83n{V5#g7~)(ZIRk}eIErh2 zOdcE}Q2FBy3{T8}e%Mt>1bD9C8T1mzR-L&Q=+@CuowpBRKr42w?~{EKhn47Ap18pXQ@G z13|*%z*c5*9wxU%fWA+;>uG9~JPP4)CH&onQJ!AV;!mZiNz4i8hTjb&j%9+EaT!>s z1W!ZztsM4*hB)ln_$tFMMVwFZg@Hue=_#cpn=!cQ-?h>MH1n}oQk(NbrjOd%$IL~7!Q?v?)&@djV^6o0`VhYD07e@( z^`MynS#A^e*aW<3hZ!Zx@m+NS{{*?=i#JE1E3+(fiz1@%j{bnh=E)G{=Eh>s-}^Qu zc@^ps!Uc~jN@p;=?q~0ytbUX_my2NJh+4nlm?TC9tzbVb?(kmJn)AcXIoqMjHwm@!{$eeJj6 z2^-+vG7KuE?lW}{ARJ#1pwBI~tZmEIu4NFr`~+I0V+rTh7Xcs?0(jRDtXU9`UW{WS z*h_!tTcBVRJDvf1dOj z&qCVxdD>Y&`lJ6w=mZ^r2#7_%5)@lRupR_r6sklN8-%?R5sZZ(!IKbHMBpV7L?f7p zMJhyD3%C?4kJF1g7&Sj6nh)L-@QC#}{B;jGBu`ZyX^|gtYP5*>Bpf(L;Y5}mU{dgE zM%a!;D@HvBYR2P%)fKtT-!X@Nitv*`Bhvru_i-xmaa6EAq&gGXAe#P=I;QHMB?FmT zExm#EI^auU*}*e*WVX-?W}ukiH8<972)$t2zKUCqPS~Chz;57+8c0;G00S{QG6XBzZC739=eu3*to>?I4{2y?vN4QCZxi zcy%EIQbeK@6_GU=E;gyx{+l)K8OD#IeP5G==&J?nA(`!*Z>n0(@&;p zCVeKHG}I)&OoaC>f-ByX89ZWomn#$p>%Ls|70mGnTq19Jf1@D*n$a- zQLu6QL$nE%(WMEUBu`3uVq1b6N98Run*K%U@%NDAuwC8$f<{uEoVk|WOt}f@^*=|GOHq- zvaAxF0&nSN9(QSep+N;w0h3yh;8Bny8>k@$69^_|s(QVV)YxosK`k;i^$LK8yNGM0hM5>-Cd?adjia-Mj@f?^qGD`#xCm1cHfn`W(M>9!GM zv1gHBTQiwA4^LlDD^6EU)nyc#x}0(|*_do6LnPyn*_SKNbehPtxHiu=)ivBU?5l;S zqo_5jb>qRUs(rmopOLWZ7(8b6(Q`BmrW0 z9(Xu0U3hXlGTaN?@NV6Y^^Zs%xDOsTSC?J09Yf#`cL2)gvs;z>sOPQy_gT3W`k|U( z+u5CI-)>(iAVLE6-#Wcj{8Ricznyn~#|q8%=QjVgurs<%-W4M(ChU(bE<0V!ExRb$ zhW`a|6v`UpU)x*zqz~U8)!#7Sn<1Ks##?2uo&Zr128MV-d=}S03=r#%xDVGvcBWrv z*F@REBF1MXF6KP;u9UMfw{qP)Yz?+gIaoSyzl(w_3`z~^f)rZtF0swrW*e{(or}z1 zjxw3fa<@-@tBlkjH<_3*nc|HX7mt+L%y~&e9WFP5B?Tk1mccUeY+$R?v*TvRX8+Vy zv!Mi-*IPQ6-#4JFBtB7omR*+_mw|HIZli5iH2O8-n%^u8%ma#Ij0Q~>jpLb-nPVQ3 zUd}$6X{svQG;~0i1>$nKHaI*DpK}@1TiL+J($W@ED_~+cuZRrii*7u(fs?f3S(Nx!7Z zlNFPT=|8)A>vJ1-uj*HgWrEX#rJy{0@4w56#jC~Doh;iX?s2JaQ9Ds_sjXFQbYGiN zmAuLZ>kBInAE=(orTDZywZ9%l&kvVyEiYHB^rW;W^gJE2-rLI+hvq-#x1W?&R&0OU zP;B4299%}BPgqU3Smj$GS)bFvQ`&A;_PAdi&uA&OY?j`Zmu{5TIUg+pHrO|+Z2+sf z9YT&`W6^S4?p(Gv_d6F8LeElfCL^!&*|^|7pW)Rr!G>@p38%qi|X)Fiwc+0 z>g}33Ul~|U;_@>-h6DZ+ft=9P`&Cg)68UeCSEoi^qZo|&BXU5~ui{D+}~6dd|r+RZ)MJ2opm zm#!T0RwTd;;Hj`&EbB*I+x{SW#O@bE9?5626sgA}pv`yN{ApIl0giFEVesZ-e`yGt1kRcj7c+Vvyum zQVyu!wRvM>K%Lv*K(u(-xVt>jMC4t*546D;WGgfe zm;f=NKJOp6CW7-@TMciN9+GUROBpKc(T3dW8y!ZG0Tq$~bwh}WhO|UQdaZ$uZ3E|$ zYI)osLnCJ2xu%CHh;e~^P<(@Q`B}+F@cRz@O%)*R#5Ej&fY3<)@dlPqB)J6w0?sj4 zR(DdDk>)hCwWiZIvNbTKbF;Sliwy+C?Z)|cXl?AIPvB;4W#h={#zXW^49>sfe@xR8 z5&RRy$&!aiT}GZj$kxG_;1?YW9Rm?B6afJNw}X)hr=qavf06(F#zSQ0AI_+L!^%}3bS(a^!%&dJ=?hTtE3 z^$l#Dop^|d{vqhUU;o;tv77n-m1N`iUuykTkp3Sl^o(>2^#9HKFDdswW;x}}-Hff& zh0U#vZ5;o~;ALcDX5#)Q!T)dR|BCz{q#FN&l$quKL;63K{)?2G{vRs*50(CPUjLl^ zdtkg!-1Pr__`Fd2;uV;G?SW%1ET{Yzg8aice?iXQ4~l=mzhh7Z{-}2YBp@JuAPHds zWjEluWdxA&4Jg0%0B5 z-(R)>B6QM_$DKBxYODCJuC$xZw5`{v3_xTrJrcbDKLWy!AHe?`7)|zzLzt~UBJ!bx zfB*^bBOv&HgV7&Beq=BL|Cv{?AHuAIKk*mI|C`6Z`2)+W{;zWWi4zMAOqhEFBK9Hi zALSu{q}Tqhiv3e*0(1~T{t2+?mxTXKuYbzB9sj`sRJddz@uubxk@6o=<<&ukhldm2 z=q{Ta-ae?2XAKMu$98sd@(T(iN*0ck@$NkTx1;{oj%I#jW@eTO216a5o{E!^k-2|q z`^b73gRDnkvz>0(_7pjuOpj%oy;2sktNlmqN2C2RGO%T`xzh@LtE#FRxQb?bJpb}} zx>z}@sOipUHl2|1K^Nr>Ur7{_;-#);!1O$Gv+1wH_csxj2 z?7`O1|G_CxApI?t$`#(9ugWBosEllEbV*hwz2el4{mI<3D3c`jyp!9&250_vuYv#p zBl~S(A&G{DM)LVyuUjL{@2P=`u!8y@JQm@HF4zdioi{(Xfluk=4T zTkix3!H>oi2{mo4|8Uy7dUCr{sI$4mO_CxOQPI*IfdOf0l$b}@Y!C!KQs3j?Z-&Ig zOpL6Ah6f*dj5{K3pnSOt7UC64NRiT`i-n~ehl87`(uFr~wnV<5RlDCM;=6T%1*&5b zlFC%DXRS5Z8L4r>MWh;&A7BOd*Evk5$)?0r?y4Uvc(f8&h8RPfTFv$?~u2&4I3#bwX#FT z-Bjk}B<*Pb=H+)`PoR@mjA~gTcXio|Pn99{VM<(gcD;3adf^(OlZB+LV*K=KVr3=G zXwb&dQ_uDy=V=bOvDPtMjbZrk=E-*l0J87k34p2q@-IjC_eJ(+Q|3Q_l#&K=-|QCJ z_J^X<>i}M=(aOT9nw-bOcmUDJz!A#R-$OwhNWh;4DOahGm_oLWO5;(fRR1%c;@~EP z$MT?UYO>n8Ofl3yYS|z`JsOrmbl9|~Uft)e*Qtlh< zh2oM!y!VOi<>+M5ET3ZI%l^Y-zaN-f zWYt(Y`H0C+WYYnqA^R@~vn8nT2neE_P~AiOnTTw$kp#u5{ff3FsnH@qYm5DLKdK~qBIpD*0siqEp7WXGIR2``I zfuzd{xWao$==pwA*m~H)Qz?Za{SVj>gKk z1!$N4m`rAgEQGYiXQhonBYb{;Xq1HKMsRiK;rnb$t9d0A`ZF$>^Tig=q{?n-DU(V) zSB^dpReZ*eq{DS8Qp7>6oK2=d9Ndt}#6L zUObX%@dm#XMT-m%u2O{mks?siB6o1vAJdb)ip{xE5SyLTTbXa?1I!i#2|s7nkp$02 z8yH57&LLhdrO|k@iCd?wqx}XR8Se8BPbm{rv1H9PnaYqa@MtPCI72eZkh|mL6QLb# zn=Pjx8x5t)T9w0g!7F-~D;O;|qP18ZOu|b3RnTjBa=O{HVYJf7C6mUQ)&8qSg7vtj zuEvt+bn?x)(PshgJ~DzB`8l~xac%rc;JGp{?LkBxNVN3q6$c&BS53bWs}>$q&G4!)NyI_s^@CE2mI&airA;XzuO~ z*bl#Axg1#=m53fBGEQfvSI3Ue`e!yyw=X=7l~S2bD&ZM!9tsVeq7aU z3FiaC_o!QXESsJW-&9S{*PFnSnx_O9X!|*p4F#z2V?0BaM)%Z(VxnzwcYMDCqdkJ; 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zk%!T?@kiO0+wD3K5oZK`-&9I^xvO&-aM*Sp+eA|WBzkdnn_QD}c8`e|=u>QKdOnfy2so<4(9Bp9f6kWowNiAd0J z4naHMqq;eP+&H-HPD-0bvkOpRTg z$iDiDoc@Wlk}xcAQOgK1xwJBsdn?T-zlL)YUWtsS^D#l!hNn zOC`^bl6F0Dt-MY4%$SX>EEA0p0Xy@GX(uy3G)0339yJQd6x@CGlNQXyJ)DeGcr5uc z=n5=rbA{lu*@hNM*lWHI0>l1;asIolOAC;fMFIIM_^mWtLEg)pj?=H@?HqsHU6j+Y z!a=8vzuK;?T;dhc$LRK6W!E}SC#9KHJ|c!Zx!JmFP&PZ*LVr(_S0OtCib|Zw@>ynD zna;hNl312;?D?zG)|;3JxV5eidd(~oiZGC%{3R_b&x6og`zlA68tS~!17MJP@v--0 zaV?n^qJ~ug9qp3#G)Nmob3FS@#b;ItI3A=hgrA2F<{*- zURqj|XI<9SqceIph%GLIy0Y$ms3f@(tDIx32b6DKik{QNUz^G}vl5b%j|G@=4493u ziWe~?tp%W>Vki9J$#toY8fd{{z^NxW5b-W?%>-K2X!T=J}>D`PgYYX!)Xu!5mnI%RBy=c>i+;s!t?cE zw{3R1ojr>*!N~`oM*Yq;(y1M2|B<<5K}Es@tXX>3lgH)$4r|;hk#Ocr+v0BbY~49W zX~=X)Z3sVP`m}writG`DFH3bS@i{5pmIf(76zqTSBeG_t_;32N?pyz~Pkbyam&BQd z<=|S>YrVY>-q{dbSu!yofwt$v3dvq)SHJH9*cB|oAIBb;5+?YvF=55DLB(?0*Y;BFI* zd>I}-kAv8TgoJ2u(L{fUNc?-c_)q>LZAp_9p-`}kalGjRDa*0K!U4uAD!^agKfLMa zPljr7rTU#z55QvjQ zb2PHyr5yYy+wxP)GODs!87`zu5pw`KIBdw|UAKe7;eHW}eB9imbxz;!%gYCn%wu7p z4K*w`F&Lx*sD1RH1uX^a(KH}1dn2N2YZjEu;11{`Sm z-#o!r4PV;&aSa5R2oqn*>Be^uzNE*(LR8K3kt+4yT#tPI2a-_@D;59ZBUxIKqWrwP zmk?XMOPpf(q4AgF|Cr&Z{5O=)H=Hmg|2A75DiFY!HXwZ9-;gBD2e9ky?PUwzMc+XD dkNbg+{MPE$5MC@vnwKtyvZ97Usl0jM{{bn&eSrV~ literal 0 HcmV?d00001 From 7c53d72719c6f964e81363fb502f757501c99446 Mon Sep 17 00:00:00 2001 From: Yibing Liu Date: Tue, 30 Jan 2018 22:12:57 -0800 Subject: [PATCH 2/4] Refine the design doc for ctc_beam_search_decoder --- doc/design/speech/README.MD | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/doc/design/speech/README.MD b/doc/design/speech/README.MD index cc03aac7b4970..4509d6453d677 100644 --- a/doc/design/speech/README.MD +++ b/doc/design/speech/README.MD @@ -142,13 +142,15 @@ TODO by Assignees

-Figure 2. Algorithm for Beam Search Decoder. +Figure 2. Algorithm for CTC Beam Search Decoder.
-- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2. -- An **external defined scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a space character appended. -- Such scorer is a unified class, may consisting of language model, word count or any customed evaluators. -- The **language model** is built from Task 5, with a parameter should be carefully tuned to achieve minimum WER/CER (c.f. Task 7) +- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] as shown in Figure 2, with two important modifications for the ambiguous parts: + - 1) in the iterative computation of probabilities, the assignment operation is changed to accumulation for one prefix may comes from different paths; + - 2) the if condition ```if l^+ not in A_prev then``` after probabilities' computation is deprecated for it is hard to understand and seems unnecessary. +- An **external scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a white space appended in English decoding and any character appended in Mandarin decoding. +- Such external scorer consists of language model, word count or any other customed scorers. +- The **language model** is built from Task 5, with parameters should be carefully tuned to achieve minimum WER/CER (c.f. Task 7) - This decoder needs to perform with **high efficiency** for the convenience of parameters tuning and speech recognition in reality. From 535f6bdf7bec8903829cd2020ad80bb948f471bf Mon Sep 17 00:00:00 2001 From: Yibing Liu Date: Tue, 30 Jan 2018 22:19:01 -0800 Subject: [PATCH 3/4] Rename the DS2' design doc --- doc/design/speech/{README.MD => deep_speech_2.md} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename doc/design/speech/{README.MD => deep_speech_2.md} (99%) diff --git a/doc/design/speech/README.MD b/doc/design/speech/deep_speech_2.md similarity index 99% rename from doc/design/speech/README.MD rename to doc/design/speech/deep_speech_2.md index 4509d6453d677..5e72c7e201d24 100644 --- a/doc/design/speech/README.MD +++ b/doc/design/speech/deep_speech_2.md @@ -149,7 +149,7 @@ Figure 2. Algorithm for CTC Beam Search Decoder. - 1) in the iterative computation of probabilities, the assignment operation is changed to accumulation for one prefix may comes from different paths; - 2) the if condition ```if l^+ not in A_prev then``` after probabilities' computation is deprecated for it is hard to understand and seems unnecessary. - An **external scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a white space appended in English decoding and any character appended in Mandarin decoding. -- Such external scorer consists of language model, word count or any other customed scorers. +- Such external scorer consists of language model, word count or any other custom scorers. - The **language model** is built from Task 5, with parameters should be carefully tuned to achieve minimum WER/CER (c.f. Task 7) - This decoder needs to perform with **high efficiency** for the convenience of parameters tuning and speech recognition in reality. From de1a70147ed97055a1ad595208a696e86ea6f183 Mon Sep 17 00:00:00 2001 From: Yibing Liu Date: Tue, 30 Jan 2018 22:25:29 -0800 Subject: [PATCH 4/4] Adjust the width of figure 2 --- doc/design/speech/deep_speech_2.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/design/speech/deep_speech_2.md b/doc/design/speech/deep_speech_2.md index 5e72c7e201d24..cfdc4d6df0434 100644 --- a/doc/design/speech/deep_speech_2.md +++ b/doc/design/speech/deep_speech_2.md @@ -141,7 +141,7 @@ TODO by Assignees ### Beam Search with CTC and LM
-
+
Figure 2. Algorithm for CTC Beam Search Decoder.