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ec17af3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 | import type { MetricsPoint, ScoreBreakdown, SessionInput, TranscriptSegment } from "./types";
const FILLER_WORDS = [
"um",
"uh",
"like",
"you know",
"actually",
"basically",
"literally",
];
const STRUCTURE_WORDS = [
"first",
"second",
"third",
"because",
"therefore",
"however",
"so",
"thus",
];
const tokenize = (text: string) =>
text
.toLowerCase()
.replace(/[^a-z0-9\s']/g, " ")
.split(/\s+/)
.filter(Boolean);
export const countWords = (segments: TranscriptSegment[]) =>
segments.reduce((acc, seg) => acc + tokenize(seg.text).length, 0);
export const countFillers = (segments: TranscriptSegment[]) => {
const text = segments.map((seg) => seg.text.toLowerCase()).join(" ");
let count = 0;
for (const filler of FILLER_WORDS) {
const pattern = new RegExp(`\\b${filler.replace(" ", "\\s+")}\\b`, "g");
const matches = text.match(pattern);
if (matches) {
count += matches.length;
}
}
return count;
};
export const computeWpm = (wordCount: number, durationMs: number) => {
if (durationMs <= 0) return 0;
return Math.round((wordCount / (durationMs / 60000)) * 10) / 10;
};
const scoreWpm = (wpm: number) => {
if (wpm >= 120 && wpm <= 160) return 18;
if ((wpm >= 100 && wpm < 120) || (wpm > 160 && wpm <= 180)) return 10;
return 4;
};
const scoreFillers = (fillersPerMinute: number) => {
if (fillersPerMinute <= 2) return 12;
if (fillersPerMinute <= 6) return 8;
return 3;
};
const scorePauses = (pauseEvents: number[], durationMs: number) => {
if (!pauseEvents.length) {
return 4;
}
const natural = pauseEvents.filter((p) => p >= 600 && p <= 1500).length;
const long = pauseEvents.filter((p) => p > 1500).length;
const minutes = Math.max(durationMs / 60000, 0.1);
const rate = natural / minutes;
if (long > Math.max(2, minutes)) {
return 4;
}
if (rate >= 2 && rate <= 6) return 10;
if (rate >= 1) return 7;
return 5;
};
const scoreEyeContact = (eyeContactPct: number) => {
if (eyeContactPct > 0.7) return 15;
if (eyeContactPct >= 0.4) return 10;
return 5;
};
const scoreSmile = (smileAvg: number) => Math.round(7 * Math.min(1, Math.max(smileAvg, 0)));
const scoreHeadStability = (yawVar: number, pitchVar: number, rollVar: number) => {
const totalVar = yawVar + pitchVar + rollVar;
if (totalVar < 5) return 8;
if (totalVar < 12) return 6;
return 4;
};
const scoreStructure = (segments: TranscriptSegment[]) => {
const words = tokenize(segments.map((s) => s.text).join(" "));
const count = words.filter((w) => STRUCTURE_WORDS.includes(w)).length;
if (count >= 4) return 10;
if (count >= 2) return 7;
return 4;
};
const scoreRepetition = (segments: TranscriptSegment[]) => {
const words = tokenize(segments.map((s) => s.text).join(" "));
const freq = new Map<string, number>();
for (const word of words) {
freq.set(word, (freq.get(word) ?? 0) + 1);
}
const repeated = Array.from(freq.values()).filter((count) => count >= 6).length;
if (repeated >= 3) return -8;
if (repeated >= 1) return -4;
return 0;
};
const scoreClarity = (segments: TranscriptSegment[]) => {
const sentences = segments
.map((s) => s.text)
.join(" ")
.split(/[.!?]+/)
.map((s) => s.trim())
.filter(Boolean);
if (!sentences.length) return 0;
const lengths = sentences.map((s) => tokenize(s).length);
const avg = lengths.reduce((a, b) => a + b, 0) / lengths.length;
if (avg >= 8 && avg <= 20) return 12;
if (avg >= 5 && avg <= 25) return 8;
return 4;
};
const scoreKeywordCoverage = (segments: TranscriptSegment[], keywords: string[]) => {
if (!keywords.length) return 0;
const text = segments.map((s) => s.text.toLowerCase()).join(" ");
const covered = keywords.filter((k) => text.includes(k.toLowerCase())).length;
const ratio = covered / keywords.length;
if (ratio >= 0.8) return 8;
if (ratio >= 0.5) return 5;
return 2;
};
const avg = (values: number[]) =>
values.length ? values.reduce((a, b) => a + b, 0) / values.length : 0;
const variance = (values: number[]) => {
if (!values.length) return 0;
const mean = avg(values);
return avg(values.map((v) => (v - mean) ** 2));
};
const collectPauseEvents = (metrics: MetricsPoint[]) =>
metrics.map((m) => m.pauseMs).filter((p) => p > 0);
export const computeScore = (input: SessionInput): ScoreBreakdown => {
const wordCount = countWords(input.transcript);
const wpm = computeWpm(wordCount, input.durationMs);
const fillerCount = countFillers(input.transcript);
const minutes = Math.max(input.durationMs / 60000, 0.1);
const fillersPerMinute = fillerCount / minutes;
const pauseEvents = collectPauseEvents(input.metrics);
const wpmScore = scoreWpm(wpm);
const fillerScore = scoreFillers(fillersPerMinute);
const pauseScore = scorePauses(pauseEvents, input.durationMs);
const speech = wpmScore + fillerScore + pauseScore;
const eyeContactPct = avg(input.metrics.map((m) => m.eyeContact));
const smileAvg = avg(input.metrics.map((m) => m.smile));
const yawVar = variance(input.metrics.map((m) => m.yaw));
const pitchVar = variance(input.metrics.map((m) => m.pitch));
const rollVar = variance(input.metrics.map((m) => m.roll));
const eyeScore = scoreEyeContact(eyeContactPct);
const smileScore = scoreSmile(smileAvg);
const headScore = scoreHeadStability(yawVar, pitchVar, rollVar);
const delivery = eyeScore + smileScore + headScore;
const structureScore = scoreStructure(input.transcript);
const repetitionScore = scoreRepetition(input.transcript);
const clarityScore = scoreClarity(input.transcript);
const keywordScore = scoreKeywordCoverage(input.transcript, input.targetKeywords);
const content = Math.max(0, structureScore + repetitionScore + clarityScore + keywordScore);
const total = Math.min(100, Math.max(0, speech + delivery + content));
const fixes: string[] = [];
if (wpmScore <= 10) fixes.push("Adjust pace to 120-160 WPM.");
if (fillerScore <= 8) fixes.push("Reduce filler words with pauses.");
if (eyeScore <= 10) fixes.push("Increase eye contact with the lens.");
if (clarityScore <= 8) fixes.push("Shorten sentences for clarity.");
if (keywordScore <= 5 && input.targetKeywords.length) fixes.push("Cover target keywords.");
const drill = speech < delivery && speech < content
? "60-second pace drill"
: delivery < content
? "Eye contact mirror drill"
: "Story arc outline drill";
return {
total,
speech,
delivery,
content,
details: {
wpm: wpmScore,
fillers: fillerScore,
pauses: pauseScore,
eyeContact: eyeScore,
smile: smileScore,
headStability: headScore,
structure: structureScore,
repetition: repetitionScore,
clarity: clarityScore,
keywordCoverage: keywordScore,
},
topFixes: fixes.slice(0, 3),
recommendedDrill: drill,
};
};
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