Merge branch 'reco' of s333949/archSpeechReco into master
This commit is contained in:
Gogs
commit
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{
|
||||
"_id" : ObjectId("5df3e63d4c0402698d7837f3"),
|
||||
"title" : "Sportowa niedziela",
|
||||
"mp4" : [
|
||||
"sites/default/files/video/PL06736e39-a6bb-4357-bf77-4e423fe60756/Kronika_PKF_53-42-5.mp4"
|
||||
],
|
||||
"url" : "http://repozytorium.fn.org.pl/?q=pl/node/7754",
|
||||
"description" : {
|
||||
"fullTitle" : "Sportowa niedziela. Zawody lekkoatletyczne Finlandia - Polska. Mecz piłkarski Tirana - Warszawa",
|
||||
"desc" : "Prezentacje polskich i fińskich lekkoatletów. Sportowcy podczas biegu. Skok o tyczce. Piłkarze przygotowujący się do meczu. Fragmenty meczu. Wiśniewski zdobywa bramkę dla Polski.",
|
||||
"date" : "1953-09-30",
|
||||
"sequence" : {
|
||||
"00:00:01:15" : "Napis: \"Sportowa niedziela\". W tle kibice zgromadzeni na stadionie.",
|
||||
"00:00:06:02" : "Prezentacja drużyn lekkoatletycznych.",
|
||||
"00:00:19:06" : "Bieg na 1500 metrów.",
|
||||
"00:00:35:02" : "Żbikowski dobiega do mety.",
|
||||
"00:00:44:01" : "Adamczyk skacze o tyczce.",
|
||||
"00:01:04:06" : "Piłkarze przygotowują się do meczu.",
|
||||
"00:01:19:23" : "Fragmenty meczu Tirana - Warszawa.",
|
||||
"00:02:09:20" : "Wiśniewski zdobywa bramkę dla Warszawy.",
|
||||
"00:02:18:02" : "Plansza końcowa: \"Produkcja: WYTWÓRNIA FILMÓW DOKUMENTALNYCH\"."
|
||||
},
|
||||
"details" : {
|
||||
"Redakcja" : "Helena Lemańska",
|
||||
"Komentarz" : "Jerzy Szelubski",
|
||||
"Lektor" : "Andrzej Łapicki",
|
||||
"Zdjęcia" : "Karol Szczeciński",
|
||||
"Muzyka" : "Stefan Zawarski",
|
||||
"Montaż" : "Wacław Kaźmierczak",
|
||||
"Numer tematu" : "8-9",
|
||||
"Osoba" : "Stefan Lewandowski (polski lekkoatleta, średniodystansowiec), Jan Wiktor Wiśniewski (polski piłkarz), Hogli (albański bramkarz), Edward Adamczyk (polski lekkoatleta, wieloboista), Kazimierz Żbikowski (polski lekkoatleta, średnio- i długodystansowiec), Valto Olenius (fiński lekkoatleta, tyczkarz), Edmund Potrzebowski (polski lekkoatleta, średniodystansowiec), Haikola (fiński biegacz)",
|
||||
"Obiekt" : "Stadion Wojska Polskiego w Warszawie",
|
||||
"Zdarzenie" : "zawody sportowe na Stadionie Wojska Polskiego w Warszawie",
|
||||
"Czas akcji" : "1953",
|
||||
"Miejsce akcji" : "Warszawa",
|
||||
"Produkcja" : "Wytwórnia Filmów Dokumentalnych (Warszawa)",
|
||||
"Prawa" : "WFDiF",
|
||||
"Format dźwięku" : "mono",
|
||||
"Format klatki" : "4:3"
|
||||
}
|
||||
},
|
||||
"gcsMp4" : {
|
||||
"location" : "mp4/5df3e63d4c0402698d7837f3.mp4",
|
||||
"uploadDate" : "2019-12-15 18:41:54"
|
||||
},
|
||||
"gcsWav" : {
|
||||
"location" : "wave/5df3e63d4c0402698d7837f3.wav",
|
||||
"uploadDate" : "2020-01-05 23:10:27"
|
||||
},
|
||||
"gcTextReco" : {
|
||||
"transcript" : "35000 widzów zgromadzonych na stadionie Wojska Polskiego gotowało serdeczne przyjęcie sportowcom którzy przybyli do Warszawy by zmierzyć się z czołówką naszej lekkoatletyka do biegu na 1500m Lewandowski potrzebowski tłusta niemieckim chaikola piąty jest Żbikowski szpikowski W dobrym czasie 3 minuty 50 i 6 sekund skoku o tyczce taboretem publiczności czekolada liczy 4 m film o leniu z ma lepszy rozbieg i góruje nad Polakiem pod względem technicznym 4 mzasięg kulminacyjny punkt sportowy niedzieli zawody piłkarskie ci rana Warszawa Oto fragmenty spotkania goście przewyższają zespół polski techniczny i faktycznie ale nie umieją wykorzystać swojej przewagi Oblicz wpisuje się doskonale waga Wiśniewski zdobywa bramkę ostateczny rezultat na 1 dla Warszawy",
|
||||
"transcripted" : "2020-01-07 21:44:18",
|
||||
"words" : [
|
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{
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"startTime" : "0.500s",
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"word" : "35000",
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"speakerTag" : 1
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},
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{
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"startTime" : "7.600s",
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"endTime" : "7.900s",
|
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"word" : "widzów",
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"speakerTag" : 1
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},
|
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{
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"startTime" : "7.900s",
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"endTime" : "8.200s",
|
||||
"word" : "zgromadzonych",
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"speakerTag" : 1
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},
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{
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"startTime" : "8.200s",
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"word" : "na",
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},
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{
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"startTime" : "8.600s",
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"endTime" : "9.100s",
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"word" : "stadionie",
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},
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{
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"startTime" : "9.100s",
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"word" : "Wojska",
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},
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{
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"startTime" : "9.400s",
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"endTime" : "9.900s",
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"word" : "Polskiego",
|
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"speakerTag" : 1
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},
|
||||
{
|
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"startTime" : "9.900s",
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"endTime" : "10.700s",
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"word" : "gotowało",
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"speakerTag" : 1
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},
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{
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"startTime" : "10.700s",
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"word" : "serdeczne",
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},
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{
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"word" : "przyjęcie",
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"speakerTag" : 1
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},
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{
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"startTime" : "11.400s",
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"word" : "sportowcom",
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},
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{
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"word" : "którzy",
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},
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{
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"startTime" : "13.200s",
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"word" : "przybyli",
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"speakerTag" : 1
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},
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{
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"word" : "do",
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},
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{
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"startTime" : "13.800s",
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"word" : "Warszawy",
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"speakerTag" : 1
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},
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{
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"word" : "by",
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},
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{
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"word" : "zmierzyć",
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},
|
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{
|
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"startTime" : "14.800s",
|
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"endTime" : "15s",
|
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"word" : "się",
|
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"speakerTag" : 1
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},
|
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{
|
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"startTime" : "15s",
|
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"endTime" : "15.200s",
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"word" : "z",
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"speakerTag" : 1
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},
|
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{
|
||||
"startTime" : "15.200s",
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"endTime" : "15.700s",
|
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"word" : "czołówką",
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"speakerTag" : 1
|
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},
|
||||
{
|
||||
"startTime" : "15.700s",
|
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"endTime" : "16.100s",
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"word" : "naszej",
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"speakerTag" : 1
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},
|
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{
|
||||
"startTime" : "16.100s",
|
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"endTime" : "16.800s",
|
||||
"word" : "lekkoatletyka",
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"speakerTag" : 1
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},
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{
|
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"startTime" : "16.800s",
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"word" : "do",
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},
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{
|
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"startTime" : "21s",
|
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"endTime" : "21.300s",
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"word" : "biegu",
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},
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{
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"startTime" : "21.300s",
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"word" : "na",
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},
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{
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"startTime" : "21.400s",
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"word" : "1500m",
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"speakerTag" : 1
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},
|
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{
|
||||
"startTime" : "22.100s",
|
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"endTime" : "25.800s",
|
||||
"word" : "Lewandowski",
|
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"speakerTag" : 1
|
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},
|
||||
{
|
||||
"startTime" : "25.800s",
|
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"endTime" : "26.400s",
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"word" : "potrzebowski",
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"speakerTag" : 1
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},
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{
|
||||
"startTime" : "26.400s",
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"word" : "tłusta",
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},
|
||||
{
|
||||
"startTime" : "26.700s",
|
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"endTime" : "27.100s",
|
||||
"word" : "niemieckim",
|
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},
|
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{
|
||||
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},
|
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{
|
||||
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},
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{
|
||||
"startTime" : "28s",
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},
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{
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{
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},
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{
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},
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{
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},
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{
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},
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{
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{
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{
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{
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},
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},
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},
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{
|
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|
||||
"endTime" : "53s",
|
||||
"word" : "leniu",
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},
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{
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},
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},
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|
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{
|
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},
|
||||
{
|
||||
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|
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{
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|
||||
"word" : "Polakiem",
|
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|
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|
||||
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|
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|
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|
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|
||||
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|
||||
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|
||||
"word" : "technicznym",
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|
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@ -0,0 +1,340 @@
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||||
"word" : "czekają",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "20.500s",
|
||||
"endTime" : "20.600s",
|
||||
"word" : "i",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "20.600s",
|
||||
"endTime" : "21.600s",
|
||||
"word" : "szampanem",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "21.600s",
|
||||
"endTime" : "25s",
|
||||
"word" : "ale",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "25s",
|
||||
"endTime" : "25.100s",
|
||||
"word" : "co",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "25.100s",
|
||||
"endTime" : "25.300s",
|
||||
"word" : "do",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "25.300s",
|
||||
"endTime" : "25.800s",
|
||||
"word" : "wulkanów",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "25.800s",
|
||||
"endTime" : "26.100s",
|
||||
"word" : "to",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "26.100s",
|
||||
"endTime" : "26.300s",
|
||||
"word" : "nigdy",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "26.300s",
|
||||
"endTime" : "26.500s",
|
||||
"word" : "nic",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "26.500s",
|
||||
"endTime" : "26.600s",
|
||||
"word" : "nie",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "26.600s",
|
||||
"endTime" : "26.700s",
|
||||
"word" : "wiadomo",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "26.700s",
|
||||
"endTime" : "28.200s",
|
||||
"word" : "na",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "28.200s",
|
||||
"endTime" : "28.400s",
|
||||
"word" : "mapie",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "28.400s",
|
||||
"endTime" : "28.800s",
|
||||
"word" : "radzimy",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "28.800s",
|
||||
"endTime" : "29.200s",
|
||||
"word" : "trochę",
|
||||
"speakerTag" : 1
|
||||
},
|
||||
{
|
||||
"startTime" : "29.200s",
|
||||
"endTime" : "29.800s",
|
||||
"word" : "poczekać",
|
||||
"speakerTag" : 1
|
||||
}
|
||||
],
|
||||
"transcripted" : "2020-01-07 21:40:32"
|
||||
}
|
||||
}
|
||||
171
src/reco.py
171
src/reco.py
|
|
@ -1,39 +1,140 @@
|
|||
#!/usr/bin/python
|
||||
#from google.cloud import speech_v1
|
||||
from google.cloud import speech_v1p1beta1
|
||||
from google.cloud.speech_v1p1beta1 import enums
|
||||
from google.cloud.speech_v1p1beta1 import types
|
||||
from pymongo import MongoClient
|
||||
import json
|
||||
import argparse
|
||||
from google.protobuf.json_format import MessageToJson,MessageToDict
|
||||
from storageUpload import getMongoCollection
|
||||
from bson.objectid import ObjectId
|
||||
import datetime
|
||||
import time
|
||||
import concurrent.futures
|
||||
import re
|
||||
|
||||
import sys
|
||||
import base64
|
||||
import googleapiclient.discovery
|
||||
import os
|
||||
from natsort import natsorted
|
||||
|
||||
for dirname, dirnames, filenames in os.walk(sys.argv[1]):
|
||||
# print path to all filenames.
|
||||
for filename in natsorted(filenames):
|
||||
speech_file = os.path.join(dirname, filename)
|
||||
with open(speech_file, 'rb') as speech:
|
||||
# Base64 encode the binary audio file for inclusion in the JSON
|
||||
# request.
|
||||
temp = base64.b64encode(speech.read())
|
||||
speech_content = temp.decode()
|
||||
def main(args):
|
||||
mongoUri = "mongodb://speechRecoUser:speech!reco@localhost/archSpeechReco"
|
||||
dbName = "archSpeechReco"
|
||||
colName = "moviesMeta"
|
||||
global col
|
||||
col = getMongoCollection(colName,dbName,mongoUri)
|
||||
batch_size = int(args.batch_size)
|
||||
waves = getWavList(col,batch_size)
|
||||
uris = [ w['gcsWawLocation'] for w in waves ]
|
||||
|
||||
# Construct the request
|
||||
service = googleapiclient.discovery.build('speech', 'v1')
|
||||
service_request = service.speech().recognize(
|
||||
body={
|
||||
"config": {
|
||||
"encoding": "LINEAR16", # raw 16-bit signed LE samples
|
||||
"sampleRateHertz": 44100, # 16 khz
|
||||
"languageCode": "pl-PL", # a BCP-47 language tag
|
||||
},
|
||||
"audio": {
|
||||
"content": speech_content
|
||||
}
|
||||
})
|
||||
start = time.perf_counter()
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=64) as executor:
|
||||
executor.map(run_reco, uris)
|
||||
stop = time.perf_counter()
|
||||
|
||||
response = service_request.execute()
|
||||
#recognized_text = 'Transcribed Text: \n'
|
||||
recognized_text = ''
|
||||
if len(response) > 0:
|
||||
for i in range(len(response['results'])):
|
||||
recognized_text += response['results'][i]['alternatives'][0]['transcript']
|
||||
print(recognized_text)
|
||||
print(f'Finished in {round(stop-start, 2)} seconds')
|
||||
|
||||
|
||||
def run_reco(uri):
|
||||
reco = recognize(uri)
|
||||
recoDict = MessageToDict(reco)
|
||||
|
||||
if (len(recoDict) != 0):
|
||||
words = recoDict["results"][-1]["alternatives"][0]["words"]
|
||||
transcript = "".join( [ trans["alternatives"][0]["transcript"] for trans in recoDict["results"][:-1] ] )
|
||||
elif (len(recoDict) == 0):
|
||||
words = {}
|
||||
transcript = "film niemy"
|
||||
|
||||
now = datetime.datetime.now()
|
||||
try:
|
||||
col.update_one(
|
||||
{"_id": ObjectId(uri.split('/')[4].split('.')[0])},
|
||||
{"$set":{"gcTextReco.transcript":transcript,
|
||||
"gcTextReco.words":words,
|
||||
"gcTextReco.transcripted":now.strftime("%Y-%m-%d %H:%M:%S")}}
|
||||
)
|
||||
except Exception as e: print(e)
|
||||
else:
|
||||
print(f"mongo update OK {uri.split('/')[4].split('.')[0]}")
|
||||
|
||||
|
||||
def recognize(storage_uri):
|
||||
"""
|
||||
Transcribe long audio file from Cloud Storage using asynchronous speech
|
||||
recognition
|
||||
|
||||
Args:
|
||||
storage_uri URI for audio file in Cloud Storage, e.g. gs://[BUCKET]/[FILE]
|
||||
"""
|
||||
|
||||
#client = speech_v1.SpeechClient()
|
||||
client = speech_v1p1beta1.SpeechClient()
|
||||
# storage_uri = 'gs://cloud-samples-data/speech/brooklyn_bridge.raw'
|
||||
|
||||
# Sample rate in Hertz of the audio data sent
|
||||
sample_rate_hertz = 44100
|
||||
|
||||
# The language of the supplied audio
|
||||
language_code = "pl-PL"
|
||||
|
||||
# Encoding of audio data sent. This sample sets this explicitly.
|
||||
# This field is optional for FLAC and WAV audio formats.
|
||||
encoding = enums.RecognitionConfig.AudioEncoding.LINEAR16
|
||||
enable_speaker_diarization = True
|
||||
#config = {
|
||||
#"sample_rate_hertz": sample_rate_hertz,
|
||||
# "language_code": language_code,
|
||||
# "encoding": encoding,
|
||||
# "enableSpeakerDiarization": enable_speaker_diarization
|
||||
#
|
||||
d_config = types.SpeakerDiarizationConfig(
|
||||
enable_speaker_diarization=True
|
||||
)
|
||||
config = types.RecognitionConfig(
|
||||
encoding = enums.RecognitionConfig.AudioEncoding.LINEAR16,
|
||||
sample_rate_hertz = 44100,
|
||||
language_code = "pl-PL",
|
||||
diarization_config=d_config
|
||||
)
|
||||
|
||||
audio = {"uri": storage_uri}
|
||||
|
||||
operation = client.long_running_recognize(config, audio)
|
||||
print(f'{storage_uri} has been sent to reco')
|
||||
print(u"Waiting for operation to complete...")
|
||||
response = operation.result()
|
||||
|
||||
return response
|
||||
|
||||
|
||||
def getMongoCollection(colName,dbName,uri):
|
||||
client = MongoClient(uri,maxPoolSize=512)
|
||||
db = client[dbName]
|
||||
col = db[colName]
|
||||
|
||||
return col
|
||||
|
||||
|
||||
def getWavList(col,limit=32):
|
||||
pipeline = []
|
||||
#match phase, filetr documents withour gcTextReco field - voice not recognized
|
||||
pipeline.append({"$match": {"$and":[
|
||||
{"gcTextReco": {"$exists": False}},
|
||||
{"gcsWav": {"$exists": True}},
|
||||
{"description.details.Format dźwięku": {"$ne": "brak"}}
|
||||
]}
|
||||
}
|
||||
)
|
||||
#project phase, show only bucket name: gcsWav.location
|
||||
pipeline.append({"$project": {
|
||||
"gcsWawLocation": { "$concat": [ "gs://archspeechreco/","$gcsWav.location" ] }
|
||||
}
|
||||
})
|
||||
#fetch only N documents
|
||||
pipeline.append({"$limit":limit})
|
||||
return col.aggregate(pipeline)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(description='Google Cloud speech2text API client')
|
||||
parser.add_argument("--batch_size", default=512, help="how many waves in the batch")
|
||||
args = parser.parse_args()
|
||||
main(args)
|
||||
|
|
|
|||
Loading…
Reference in New Issue