import{S as Pt,i as Ut,s as It,e as o,k as m,w as kt,t as s,M as Lt,c as n,d as e,m as w,a as i,x as bt,h,b as l,G as a,g as u,y as Et,L as Wt,q as $t,o as xt,B as At,v as Nt}from"../../chunks/vendor-hf-doc-builder.js";import{I as St}from"../../chunks/IconCopyLink-hf-doc-builder.js";function Tt(ht){let f,q,p,g,I,_,B,L,J,M,v,z,W,D,F,C,d,y,N,k,K,T,Q,j,b,V,G,c,E,$,X,Z,tt,x,A,et,at,ot,S,P,nt,it,H;return _=new St({}),k=new St({}),{c(){f=o("meta"),q=m(),p=o("h1"),g=o("a"),I=o("span"),kt(_.$$.fragment),B=m(),L=o("span"),J=s("Unit 7. Putting it all together \u{1FAA2}"),M=m(),v=o("p"),z=s(`Well done on making it to Unit 7 \u{1F973} You\u2019re just a few steps away from completing the course and acquiring the final few
skills you need to navigate the field of Audio ML. In terms of understanding, you already know everything there is to know!
Together, we\u2019ve comprehensively covered the main topics that constitute the audio domain and their accompanying theory
(audio data, audio classification, speech recognition and text-to-speech). What this Unit aims to deliver is a framework
for `),W=o("strong"),D=s("putting it all together"),F=s(`: now that you know how each of these tasks work in isolation, we\u2019re going to explore how
you can combine them together to build some real-world applications.`),C=m(),d=o("h2"),y=o("a"),N=o("span"),kt(k.$$.fragment),K=m(),T=o("span"),Q=s("What you'll learn and what you'll build"),j=m(),b=o("p"),V=s("In this Unit, we\u2019ll cover the following three topics:"),G=m(),c=o("ul"),E=o("li"),$=o("a"),X=s("Speech-to-speech translation"),Z=s(": translate speech from one language into speech in a different language"),tt=m(),x=o("li"),A=o("a"),et=s("Creating a voice assistant"),at=s(": build your own voice assistant that works in a similar way to Alexa or Siri"),ot=m(),S=o("li"),P=o("a"),nt=s("Transcribing meetings"),it=s(": transcribe a meeting and label the transcript with who spoke when"),this.h()},l(t){const r=Lt('[data-svelte="svelte-1phssyn"]',document.head);f=n(r,"META",{name:!0,content:!0}),r.forEach(e),q=w(t),p=n(t,"H1",{class:!0});var O=i(p);g=n(O,"A",{id:!0,class:!0,href:!0});var ct=i(g);I=n(ct,"SPAN",{});var ut=i(I);bt(_.$$.fragment,ut),ut.forEach(e),ct.forEach(e),B=w(O),L=n(O,"SPAN",{});var ft=i(L);J=h(ft,"Unit 7. Putting it all together \u{1FAA2}"),ft.forEach(e),O.forEach(e),M=w(t),v=n(t,"P",{});var R=i(v);z=h(R,`Well done on making it to Unit 7 \u{1F973} You\u2019re just a few steps away from completing the course and acquiring the final few
skills you need to navigate the field of Audio ML. In terms of understanding, you already know everything there is to know!
Together, we\u2019ve comprehensively covered the main topics that constitute the audio domain and their accompanying theory
(audio data, audio classification, speech recognition and text-to-speech). What this Unit aims to deliver is a framework
for `),W=n(R,"STRONG",{});var pt=i(W);D=h(pt,"putting it all together"),pt.forEach(e),F=h(R,`: now that you know how each of these tasks work in isolation, we\u2019re going to explore how
you can combine them together to build some real-world applications.`),R.forEach(e),C=w(t),d=n(t,"H2",{class:!0});var Y=i(d);y=n(Y,"A",{id:!0,class:!0,href:!0});var dt=i(y);N=n(dt,"SPAN",{});var mt=i(N);bt(k.$$.fragment,mt),mt.forEach(e),dt.forEach(e),K=w(Y),T=n(Y,"SPAN",{});var wt=i(T);Q=h(wt,"What you'll learn and what you'll build"),wt.forEach(e),Y.forEach(e),j=w(t),b=n(t,"P",{});var gt=i(b);V=h(gt,"In this Unit, we\u2019ll cover the following three topics:"),gt.forEach(e),G=w(t),c=n(t,"UL",{});var U=i(c);E=n(U,"LI",{});var rt=i(E);$=n(rt,"A",{href:!0});var vt=i($);X=h(vt,"Speech-to-speech translation"),vt.forEach(e),Z=h(rt,": translate speech from one language into speech in a different language"),rt.forEach(e),tt=w(U),x=n(U,"LI",{});var lt=i(x);A=n(lt,"A",{href:!0});var yt=i(A);et=h(yt,"Creating a voice assistant"),yt.forEach(e),at=h(lt,": build your own voice assistant that works in a similar way to Alexa or Siri"),lt.forEach(e),ot=w(U),S=n(U,"LI",{});var st=i(S);P=n(st,"A",{href:!0});var _t=i(P);nt=h(_t,"Transcribing meetings"),_t.forEach(e),it=h(st,": transcribe a meeting and label the transcript with who spoke when"),st.forEach(e),U.forEach(e),this.h()},h(){l(f,"name","hf:doc:metadata"),l(f,"content",JSON.stringify(qt)),l(g,"id","unit-7-putting-it-all-together"),l(g,"class","header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full"),l(g,"href","#unit-7-putting-it-all-together"),l(p,"class","relative group"),l(y,"id","what-youll-learn-and-what-youll-build"),l(y,"class","header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full"),l(y,"href","#what-youll-learn-and-what-youll-build"),l(d,"class","relative group"),l($,"href","speech-to-speech"),l(A,"href","voice-assistant"),l(P,"href","transcribe-meeting")},m(t,r){a(document.head,f),u(t,q,r),u(t,p,r),a(p,g),a(g,I),Et(_,I,null),a(p,B),a(p,L),a(L,J),u(t,M,r),u(t,v,r),a(v,z),a(v,W),a(W,D),a(v,F),u(t,C,r),u(t,d,r),a(d,y),a(y,N),Et(k,N,null),a(d,K),a(d,T),a(T,Q),u(t,j,r),u(t,b,r),a(b,V),u(t,G,r),u(t,c,r),a(c,E),a(E,$),a($,X),a(E,Z),a(c,tt),a(c,x),a(x,A),a(A,et),a(x,at),a(c,ot),a(c,S),a(S,P),a(P,nt),a(S,it),H=!0},p:Wt,i(t){H||($t(_.$$.fragment,t),$t(k.$$.fragment,t),H=!0)},o(t){xt(_.$$.fragment,t),xt(k.$$.fragment,t),H=!1},d(t){e(f),t&&e(q),t&&e(p),At(_),t&&e(M),t&&e(v),t&&e(C),t&&e(d),At(k),t&&e(j),t&&e(b),t&&e(G),t&&e(c)}}}const qt={local:"unit-7-putting-it-all-together",sections:[{local:"what-youll-learn-and-what-youll-build",title:"What you'll learn and what you'll build"}],title:"Unit 7. Putting it all together \u{1FAA2}"};function Mt(ht){return Nt(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class Gt extends Pt{constructor(f){super();Ut(this,f,Mt,Tt,It,{})}}export{Gt as default,qt as metadata};
