diff --git a/README.md b/README.md index 781fb103..7340880c 100644 --- a/README.md +++ b/README.md @@ -88,9 +88,11 @@ import { TranscriptEditor } from "@bbc/react-transcript-editor"; -Uses [`create-component-lib`](https://www.npmjs.com/package/create-component-lib) as explaied in this [blog post](https://hackernoon.com/creating-a-library-of-react-components-using-create-react-app-without-ejecting-d182df690c6b) to setup the environment to develop this React component. +uses [`create-component-lib`](https://www.npmjs.com/package/create-component-lib) as explaied in this [blog post](https://hackernoon.com/creating-a-library-of-react-components-using-create-react-app-without-ejecting-d182df690c6b) to setup the environment to develop this React. This uses [Create React App 2.0](https://reactjs.org/blog/2018/10/01/create-react-app-v2.html) so we are using [CSS Modules](https://github.com/css-modules/css-modules) to contain the scope of the css for this component. + > Place everything you want to publish to npm inside `src/lib`. @@ -175,7 +177,7 @@ See [CONTRIBUTING.md](./CONTRIBUTING.md) guidelines and [CODE_OF_CONDUCT.md](./C ## Licence -See [LICENCE.md](./LICENCE.md) + ## Legal Disclaimer diff --git a/docs/features-list.md b/docs/features-list.md index 5cfb89ca..e8617127 100644 --- a/docs/features-list.md +++ b/docs/features-list.md @@ -56,10 +56,10 @@ Import Transcript Json - Adapters - [x] News Labs API - BBC Kaldi - [x] autoEdit 2 - [x] AWS Transcriber +- [x] IBM Watson STT +- [X] Speechmatics - [ ] Gentle Transcription - [ ] Gentle Alignment Json -- [ ] IBM Watson STT -- [X] Speechmatics - [ ] AssemblyAI - [ ] Rev - [ ] Srt diff --git a/src/lib/Util/adapters/amazon-transcribe/index.js b/src/lib/Util/adapters/amazon-transcribe/index.js index ea084069..86222d37 100644 --- a/src/lib/Util/adapters/amazon-transcribe/index.js +++ b/src/lib/Util/adapters/amazon-transcribe/index.js @@ -1,35 +1,41 @@ -import generateEntitiesRanges from '../generate-entities-ranges/index.js'; - /** - * Helper function to generate draft.js entities, - * see unit test for example data structure - * it adds offset and length to recognise word in draftjs + * Converts AWS Transcribe Json to DraftJs + * see `sample` folder for example of input and output as well as `example-usage.js` */ +import generateEntitiesRanges from '../generate-entities-ranges/index.js'; + +export const stripLeadingSpace = word => { + return word.replace(/^\s/, ''); +}; + /** * @param {json} words - List of words * @param {string} wordAttributeName - eg 'punct' or 'text' or etc. * attribute for the word object containing the text. eg word ={ punct:'helo', ... } * or eg word ={ text:'helo', ... } */ - -export const getBestAlternativeForWord = (word) => { +export const getBestAlternativeForWord = word => { if (/punctuation/.test(word.type)) { return Object.assign(word.alternatives[0], { confidence: 1 }); //Transcribe doesn't provide a confidence for punctuation } - const wordWithHighestConfidence = word.alternatives.reduce(function(prev, current) { - return (parseFloat(prev.confidence) > parseFloat(current.confidence)) ? prev : current; + const wordWithHighestConfidence = word.alternatives.reduce(function( + prev, + current + ) { + return parseFloat(prev.confidence) > parseFloat(current.confidence) + ? prev + : current; }); return wordWithHighestConfidence; }; /** -Normalizes words so they can be used in - the generic generateEntitiesRanges() method -**/ - -const normalizeWord = (currentWord, previousWord) => { + * Normalizes words so they can be used in + * the generic generateEntitiesRanges() method + **/ +const normalizeWord = currentWord => { const bestAlternative = getBestAlternativeForWord(currentWord); return { @@ -52,7 +58,7 @@ export const appendPunctuationToPreviousWord = (punctuation, previousWord) => { }; }; -export const mapPunctuationItemsToWords = (words) => { +export const mapPunctuationItemsToWords = words => { const itemsToRemove = []; const dirtyArray = words.map((word, index) => { let previousWord = {}; @@ -61,8 +67,7 @@ export const mapPunctuationItemsToWords = (words) => { previousWord = words[index - 1]; return appendPunctuationToPreviousWord(word, previousWord); - } - else { + } else { return word; } }); @@ -72,17 +77,12 @@ export const mapPunctuationItemsToWords = (words) => { }); }; -export const stripLeadingSpace = (word) => { - return word.replace(/^\s/, ''); -}; - /** * groups words list from amazon transcribe transcript based on punctuation. * @todo To be more accurate, should introduce an honorifics library to do the splitting of the words. - * @param {array} words - array of words opbjects from kaldi transcript + * @param {array} words - array of words objects from kaldi transcript */ - -const groupWordsInParagraphs = (words) => { +const groupWordsInParagraphs = words => { const results = []; let paragraph = { words: [], @@ -106,11 +106,13 @@ const groupWordsInParagraphs = (words) => { return results; }; -const amazonTranscribeToDraft = (amazonTranscribeJson) => { +const amazonTranscribeToDraft = amazonTranscribeJson => { const results = []; const tmpWords = amazonTranscribeJson.results.items; const wordsWithRemappedPunctuation = mapPunctuationItemsToWords(tmpWords); - const wordsByParagraphs = groupWordsInParagraphs(wordsWithRemappedPunctuation); + const wordsByParagraphs = groupWordsInParagraphs( + wordsWithRemappedPunctuation + ); wordsByParagraphs.forEach((paragraph, i) => { const draftJsContentBlockParagraph = { text: paragraph.text.join(' '), @@ -122,7 +124,7 @@ const amazonTranscribeToDraft = (amazonTranscribeJson) => { }, // the entities as ranges are each word in the space-joined text, // so it needs to be compute for each the offset from the beginning of the paragraph and the length - entityRanges: generateEntitiesRanges(paragraph.words, 'text'), // wordAttributeName + entityRanges: generateEntitiesRanges(paragraph.words, 'text') // wordAttributeName }; results.push(draftJsContentBlockParagraph); }); diff --git a/src/lib/Util/adapters/autoEdit2/index.js b/src/lib/Util/adapters/autoEdit2/index.js index c1d6e677..e129df7e 100644 --- a/src/lib/Util/adapters/autoEdit2/index.js +++ b/src/lib/Util/adapters/autoEdit2/index.js @@ -1,31 +1,6 @@ /** - * Convert autoEdit2 Json - * - * into - * - ``` - const blocks = [ - { - text: 'Hello', - type: 'paragraph', - data: { - speaker: 'Foo', - }, - entityRanges: [], - }, - { - text: 'World', - type: 'paragraph', - data: { - speaker: 'Bar', - }, - entityRanges: [], - }, - ]; -``` - * - * See samples folder and test file - * for reference data structures + * Convert autoEdit2 Json to draftJS + * see `sample` folder for example of input and output as well as `example-usage.js` */ import generateEntitiesRanges from '../generate-entities-ranges/index'; diff --git a/src/lib/Util/adapters/bbc-kaldi/index.js b/src/lib/Util/adapters/bbc-kaldi/index.js index 70b745fe..7faf8fbc 100644 --- a/src/lib/Util/adapters/bbc-kaldi/index.js +++ b/src/lib/Util/adapters/bbc-kaldi/index.js @@ -1,118 +1,6 @@ /** - * Convert BBC Kaldi json - ``` - { - "action": "audio-transcribe", - "retval": { - "status": true, - "wonid": "octo:2692ea33-d595-41d8-bfd5-aa7f2d2f89ee", - "punct": "There is a day. About ten years ago when ...", - "words": [ - { - "start": 13.02, - "confidence": 0.68, - "end": 13.17, - "word": "there", - "punct": "There", - "index": 0 - }, - { - "start": 13.17, - "confidence": 0.61, - "end": 13.38, - "word": "is", - "punct": "is", - "index": 1 - }, - ... -``` - * - * into - * - ``` - const blocks = [ - { - "text": "There is a day.", - "type": "paragraph", - "data": { - "speaker": "TBC 0", - "words": [ - { - "start": 13.02, - "confidence": 0.68, - "end": 13.17, - "word": "there", - "punct": "There", - "index": 0 - }, - { - "start": 13.17, - "confidence": 0.61, - "end": 13.38, - "word": "is", - "punct": "is", - "index": 1 - }, - { - "start": 13.38, - "confidence": 0.99, - "end": 13.44, - "word": "a", - "punct": "a", - "index": 2 - }, - { - "start": 13.44, - "confidence": 1, - "end": 13.86, - "word": "day", - "punct": "day.", - "index": 3 - } - ], - "start": 13.02 - }, - "entityRanges": [ - { - "start": 13.02, - "end": 13.17, - "confidence": 0.68, - "text": "There", - "offset": 0, - "length": 5, - "key": "li6c6ld" - }, - { - "start": 13.17, - "end": 13.38, - "confidence": 0.61, - "text": "is", - "offset": 6, - "length": 2, - "key": "pcgzkp6" - }, - { - "start": 13.38, - "end": 13.44, - "confidence": 0.99, - "text": "a", - "offset": 9, - "length": 1, - "key": "ngomd9" - }, - { - "start": 13.44, - "end": 13.86, - "confidence": 1, - "text": "day.", - "offset": 11, - "length": 4, - "key": "sgmfl4f" - } - ] - }, - ... -``` + * Convert BBC Kaldi json to draftJs + * see `sample` folder for example of input and output as well as `example-usage.js` * */ diff --git a/src/lib/Util/adapters/ibm/example-usage.js b/src/lib/Util/adapters/ibm/example-usage.js new file mode 100644 index 00000000..ce29cc75 --- /dev/null +++ b/src/lib/Util/adapters/ibm/example-usage.js @@ -0,0 +1,6 @@ +import ibmToDraft from './index.js'; +import ibmTedTalkTranscript from './sample/ibmTedTalkTranscript.sample.json'; + +const result = ibmToDraft(ibmTedTalkTranscript); + +console.log(JSON.stringify(result, null, 2)); \ No newline at end of file diff --git a/src/lib/Util/adapters/ibm/index.js b/src/lib/Util/adapters/ibm/index.js new file mode 100644 index 00000000..c275d2f3 --- /dev/null +++ b/src/lib/Util/adapters/ibm/index.js @@ -0,0 +1,100 @@ +/** + * Convert IBM json to draftJS + * see `sample` folder for example of input and output as well as `example-usage.js` + * + */ +import generateEntitiesRanges from '../generate-entities-ranges/index.js'; + +const ibmToDraft = ibmJson => { + // helper function to normalise IBM words at line level + const normalizeTimeStampsToWords = timestamps => { + return timestamps.map(ibmWord => { + return { + text: ibmWord[0], + start: ibmWord[1], + end: ibmWord[2] + }; + }); + }; + + // + const normalizeIBMWordsList = ibmResults => { + const normalisedResults = []; + ibmResults.forEach(result => { + // nested array to keep paragraph segmentation same as IBM lines + normalisedResults.push(normalizeTimeStampsToWords(result.alternatives[0].timestamps)); + // TODO: can be revisited - as separate PR by flattening the array like this + // normalisedResults = normalisedResults.concact(normalizeTimeStampsToWords(result.alternatives[0].timestamps)); + // addSpeakersToWords function would need adjusting as would be dealing with a 1D array instead of 2D + // if edge case, like in example file, that there's one speaker recognised through all of speaker segemtnation info + // could break into paragraph when is over a minute? at end of IBM line? + // or punctuation, altho IBM does not seem to provide punctuation? + }); + + return normalisedResults; + }; + + // TODO: could be separate file + const findSpeakerSegmentForWord = (word, speakerSegments) => { + const tmpSegment = speakerSegments.find(seg => { + const segStart = seg.from; + const segEnd = seg.to; + + return ((word.start === segStart) && (word.end === segEnd)); + }); + // if find doesn't find any matches it returns an undefined + if (tmpSegment === undefined) { + // covering edge case orphan word not belonging to any segments + // adding UKN speaker label + return 'UKN'; + } else { + // find returns the first element that matches the criteria + return `S_${ tmpSegment.speaker }`; + } + }; + // add speakers to words + const addSpeakersToWords = (ibmWords, ibmSpeakers) => { + return ibmWords.map(lines => { + return lines.map(word => { + + word.speaker = findSpeakerSegmentForWord(word, ibmSpeakers); + + return word; + }); + }); + }; + + const ibmNormalisedWordsToDraftJs = (ibmNormalisedWordsWithSpeakers) => { + const draftJsParagraphsResults = []; + ibmNormalisedWordsWithSpeakers.forEach((ibmParagraph) => { + const draftJsContentBlockParagraph = { + text: ibmParagraph.map((word) => {return word.text;}).join(' '), + type: 'paragraph', + data: { + // Assuming each paragraph in IBM line is the same + // for context it just seems like the IBM data structure gives you word level speakers, + // but also gives you "lines" so assuming each word in a line has the same speaker. + speaker: ibmParagraph[0].speaker, + words: ibmParagraph, + start: ibmParagraph[0].start + }, + // the entities as ranges are each word in the space-joined text, + // so it needs to be compute for each the offset from the beginning of the paragraph and the length + entityRanges: generateEntitiesRanges(ibmParagraph, 'text'), // wordAttributeName + }; + draftJsParagraphsResults.push(draftJsContentBlockParagraph); + }); + + return draftJsParagraphsResults; + }; + + const normalisedWords = normalizeIBMWordsList(ibmJson.results[0].results); + // TODO: nested array of words, to keep some sort of paragraphs, in case there's only one speaker + // can be refactored/optimised later + const ibmNormalisedWordsWithSpeakers = addSpeakersToWords(normalisedWords, ibmJson.results[0].speaker_labels); + const ibmDratJs = ibmNormalisedWordsToDraftJs(ibmNormalisedWordsWithSpeakers); + + return ibmDratJs; +}; + +export default ibmToDraft; diff --git a/src/lib/Util/adapters/ibm/index.test.js b/src/lib/Util/adapters/ibm/index.test.js new file mode 100644 index 00000000..fb152df8 --- /dev/null +++ b/src/lib/Util/adapters/ibm/index.test.js @@ -0,0 +1,15 @@ +import ibmToDraft from './index'; + +import draftTranscriptExample from './sample/ibmToDraft.sample.js'; +import ibmTedTalkTranscript from './sample/ibmTedTalkTranscript.sample.json'; + +describe('bbcKaldiToDraft', () => { + const result = ibmToDraft(ibmTedTalkTranscript); + it('Should be defined', ( ) => { + expect(result).toBeDefined(); + }); + + it('Should be equal to expected value', ( ) => { + expect(result).toEqual(draftTranscriptExample); + }); +}); diff --git a/src/lib/Util/adapters/ibm/sample/ibmTedTalkTranscript.sample.json b/src/lib/Util/adapters/ibm/sample/ibmTedTalkTranscript.sample.json new file mode 100644 index 00000000..920e3ff3 --- /dev/null +++ b/src/lib/Util/adapters/ibm/sample/ibmTedTalkTranscript.sample.json @@ -0,0 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+ "start": 687.58, + "end": 687.78, + "text": "a", + "offset": 42, + "length": 1, + "key": expect.any(String)//"ss8pm4p" + } + ] + }, + { + "text": "when a soldier tries to save a robot on the battlefield", + "type": "paragraph", + "data": { + "speaker": "S_1", + "words": [ + { + "text": "when", + "start": 689.23, + "end": 689.4, + "speaker": "S_1" + }, + { + "text": "a", + "start": 689.4, + "end": 689.48, + "speaker": "S_1" + }, + { + "text": "soldier", + "start": 689.48, + "end": 689.95, + "speaker": "S_1" + }, + { + "text": "tries", + "start": 689.95, + "end": 690.33, + "speaker": "S_1" + }, + { + "text": "to", + "start": 690.33, + "end": 690.44, + "speaker": "S_1" + }, + { + "text": "save", + "start": 690.44, + "end": 690.77, + "speaker": "S_1" + }, + { + "text": "a", + "start": 690.77, + "end": 690.85, + "speaker": "S_1" + }, + { + "text": "robot", + "start": 690.85, + "end": 691.21, + "speaker": "S_1" + }, + { + "text": "on", + "start": 691.21, + "end": 691.34, + "speaker": "S_1" + }, + { + "text": "the", + "start": 691.34, + "end": 691.43, + "speaker": "S_1" + }, + { + "text": "battlefield", + "start": 691.43, + "end": 692.22, + "speaker": "S_1" + } + ], + "start": 689.23 + }, + "entityRanges": [ + { + "start": 689.23, + "end": 689.4, + "text": "when", + "offset": 0, + "length": 4, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 689.4, + "end": 689.48, + "text": "a", + "offset": 5, + "length": 1, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 689.48, + "end": 689.95, + "text": "soldier", + "offset": 7, + "length": 7, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 689.95, + "end": 690.33, + "text": "tries", + "offset": 15, + "length": 5, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 690.33, + "end": 690.44, + "text": "to", + "offset": 21, + "length": 2, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 690.44, + "end": 690.77, + "text": "save", + "offset": 24, + "length": 4, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 690.77, + "end": 690.85, + "text": "a", + "offset": 29, + "length": 1, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 690.85, + "end": 691.21, + "text": "robot", + "offset": 31, + "length": 5, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 691.21, + "end": 691.34, + "text": "on", + "offset": 37, + "length": 2, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 691.34, + "end": 691.43, + "text": "the", + "offset": 40, + "length": 3, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 691.43, + "end": 692.22, + "text": "battlefield", + "offset": 44, + "length": 11, + "key": expect.any(String)//"ss8pm4p" + } + ] + }, + { + "text": "or when a group of people refuses to harm a robotic baby dinosaur", + "type": "paragraph", + "data": { + "speaker": "S_1", + "words": [ + { + "text": "or", + "start": 693.26, + "end": 693.42, + "speaker": "S_1" + }, + { + "text": "when", + "start": 693.42, + "end": 693.55, + "speaker": "S_1" + }, + { + "text": "a", + "start": 693.55, + "end": 693.61, + "speaker": "S_1" + }, + { + "text": "group", + "start": 693.61, + "end": 693.82, + "speaker": "S_1" + }, + { + "text": "of", + "start": 693.82, + "end": 693.94, + "speaker": "S_1" + }, + { + "text": "people", + "start": 693.94, + "end": 694.32, + "speaker": "S_1" + }, + { + "text": "refuses", + "start": 694.32, + "end": 694.87, + "speaker": "S_1" + }, + { + "text": "to", + "start": 694.87, + "end": 694.98, + "speaker": "S_1" + }, + { + "text": "harm", + "start": 694.98, + "end": 695.43, + "speaker": "S_1" + }, + { + "text": "a", + "start": 695.43, + "end": 695.51, + "speaker": "S_1" + }, + { + "text": "robotic", + "start": 695.51, + "end": 695.9, + "speaker": "S_1" + }, + { + "text": "baby", + "start": 695.9, + "end": 696.13, + "speaker": "S_1" + }, + { + "text": "dinosaur", + "start": 696.13, + "end": 696.88, + "speaker": "S_1" + } + ], + "start": 693.26 + }, + "entityRanges": [ + { + "start": 693.26, + "end": 693.42, + "text": "or", + "offset": 0, + "length": 2, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 693.42, + "end": 693.55, + "text": "when", + "offset": 3, + "length": 4, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 693.55, + "end": 693.61, + "text": "a", + "offset": 8, + "length": 1, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 693.61, + "end": 693.82, + "text": "group", + "offset": 10, + "length": 5, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 693.82, + "end": 693.94, + "text": "of", + "offset": 16, + "length": 2, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 693.94, + "end": 694.32, + "text": "people", + "offset": 19, + "length": 6, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 694.32, + "end": 694.87, + "text": "refuses", + "offset": 26, + "length": 7, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 694.87, + "end": 694.98, + "text": "to", + "offset": 34, + "length": 2, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 694.98, + "end": 695.43, + "text": "harm", + "offset": 37, + "length": 4, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 695.43, + "end": 695.51, + "text": "a", + "offset": 42, + "length": 1, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 695.51, + "end": 695.9, + "text": "robotic", + "offset": 44, + "length": 7, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 695.9, + "end": 696.13, + "text": "baby", + "offset": 52, + "length": 4, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 696.13, + "end": 696.88, + "text": "dinosaur", + "offset": 57, + "length": 8, + "key": expect.any(String)//"ss8pm4p" + } + ] + }, + { + "text": "those robots arches motors in years and algorithms", + "type": "paragraph", + "data": { + "speaker": "S_1", + "words": [ + { + "text": "those", + "start": 698.21, + "end": 698.43, + "speaker": "S_1" + }, + { + "text": "robots", + "start": 698.43, + "end": 698.83, + "speaker": "S_1" + }, + { + "text": "arches", + "start": 698.83, + "end": 699.4, + "speaker": "S_1" + }, + { + "text": "motors", + "start": 699.44, + "end": 699.91, + "speaker": "S_1" + }, + { + "text": "in", + "start": 699.91, + "end": 700.01, + "speaker": "S_1" + }, + { + "text": "years", + "start": 700.01, + "end": 700.34, + "speaker": "S_1" + }, + { + "text": "and", + "start": 700.34, + "end": 700.45, + "speaker": "S_1" + }, + { + "text": "algorithms", + "start": 700.45, + "end": 701.39, + "speaker": "S_1" + } + ], + "start": 698.21 + }, + "entityRanges": [ + { + "start": 698.21, + "end": 698.43, + "text": "those", + "offset": 0, + "length": 5, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 698.43, + "end": 698.83, + "text": "robots", + "offset": 6, + "length": 6, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 698.83, + "end": 699.4, + "text": "arches", + "offset": 13, + "length": 6, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 699.44, + "end": 699.91, + "text": "motors", + "offset": 20, + "length": 6, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 699.91, + "end": 700.01, + "text": "in", + "offset": 27, + "length": 2, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 700.01, + "end": 700.34, + "text": "years", + "offset": 30, + "length": 5, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 700.34, + "end": 700.45, + "text": "and", + "offset": 36, + "length": 3, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 700.45, + "end": 701.39, + "text": "algorithms", + "offset": 40, + "length": 10, + "key": expect.any(String)//"ss8pm4p" + } + ] + }, + { + "text": "their reflections of our own humanity", + "type": "paragraph", + "data": { + "speaker": "S_1", + "words": [ + { + "text": "their", + "start": 702.48, + "end": 702.65, + "speaker": "S_1" + }, + { + "text": "reflections", + "start": 702.65, + "end": 703.24, + "speaker": "S_1" + }, + { + "text": "of", + "start": 703.24, + "end": 703.33, + "speaker": "S_1" + }, + { + "text": "our", + "start": 703.33, + "end": 703.44, + "speaker": "S_1" + }, + { + "text": "own", + "start": 703.44, + "end": 703.62, + "speaker": "S_1" + }, + { + "text": "humanity", + "start": 703.62, + "end": 704.32, + "speaker": "S_1" + } + ], + "start": 702.48 + }, + "entityRanges": [ + { + "start": 702.48, + "end": 702.65, + "text": "their", + "offset": 0, + "length": 5, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 702.65, + "end": 703.24, + "text": "reflections", + "offset": 6, + "length": 11, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 703.24, + "end": 703.33, + "text": "of", + "offset": 18, + "length": 2, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 703.33, + "end": 703.44, + "text": "our", + "offset": 21, + "length": 3, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 703.44, + "end": 703.62, + "text": "own", + "offset": 25, + "length": 3, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 703.62, + "end": 704.32, + "text": "humanity", + "offset": 29, + "length": 8, + "key": expect.any(String)//"ss8pm4p" + } + ] + }, + { + "text": "thank you", + "type": "paragraph", + "data": { + "speaker": "S_1", + "words": [ + { + "text": "thank", + "start": 705.5, + "end": 705.77, + "speaker": "S_1" + }, + { + "text": "you", + "start": 705.77, + "end": 705.94, + "speaker": "S_1" + } + ], + "start": 705.5 + }, + "entityRanges": [ + { + "start": 705.5, + "end": 705.77, + "text": "thank", + "offset": 0, + "length": 5, + "key": expect.any(String)//"ss8pm4p" + }, + { + "start": 705.77, + "end": 705.94, + "text": "you", + "offset": 6, + "length": 3, + "key": expect.any(String)//"ss8pm4p" + } + ] + } +] + +export default draftTranscriptExample; diff --git a/src/lib/Util/adapters/index.js b/src/lib/Util/adapters/index.js index 97b1b50d..ad96d89a 100644 --- a/src/lib/Util/adapters/index.js +++ b/src/lib/Util/adapters/index.js @@ -2,7 +2,7 @@ import bbcKaldiToDraft from './bbc-kaldi/index'; import autoEdit2ToDraft from './autoEdit2/index'; import speechmaticsToDraft from './speechmatics/index'; import amazonTranscribeToDraft from './amazon-transcribe/index'; - +import ibmToDraft from './ibm/index'; /** * Adapters for STT conversion * @param {json} transcriptData - A json transcript with some word accurate timecode @@ -44,16 +44,21 @@ const sttJsonAdapter = (transcriptData, sttJsonType) => { case 'speechmatics': blocks = speechmaticsToDraft(transcriptData); + return { blocks, entityMap: createEntityMap(blocks) }; + case 'ibm': + blocks = ibmToDraft(transcriptData); + return { blocks, entityMap: createEntityMap(blocks) }; case 'draftjs': return transcriptData; // (typeof transcriptData === 'string')? JSON.parse(transcriptData): transcriptData; case 'amazontranscribe': blocks = amazonTranscribeToDraft(transcriptData); - return {blocks, entityMap: createEntityMap(blocks) }; + + return { blocks, entityMap: createEntityMap(blocks) }; default: // code block - console.error('not recognised the stt enginge'); + console.error('Did not recognize the stt engine.'); } }; diff --git a/src/lib/Util/adapters/speechmatics/index.js b/src/lib/Util/adapters/speechmatics/index.js index b0a3738c..4b0e7ba8 100644 --- a/src/lib/Util/adapters/speechmatics/index.js +++ b/src/lib/Util/adapters/speechmatics/index.js @@ -1,5 +1,6 @@ /** - * Convert Speechmatics + * Convert Speechmatics Json to DraftJs + * see `sample` folder for example of input and output as well as `example-usage.js` */ import generateEntitiesRanges from '../generate-entities-ranges/index.js'; @@ -10,7 +11,6 @@ import generateEntitiesRanges from '../generate-entities-ranges/index.js'; * @todo As this function is also used in the bbc-kaldi adapter, should it be refactored into its own file? * @param {array} words - array of words objects from speechmatics transcript */ - const groupWordsInParagraphs = (words) => { const results = []; let paragraph = { words: [], text: [] }; diff --git a/src/select-stt-json-type.js b/src/select-stt-json-type.js index d9334db2..7b25fa5f 100644 --- a/src/select-stt-json-type.js +++ b/src/select-stt-json-type.js @@ -8,8 +8,8 @@ const SttTypeSelect = props => (