omi_transcript_segments

33 rows where conversation_id = "135ba63a-0fbc-4612-8401-0513ba63e19b"

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id ▼ conversation_id text speaker_id speaker_name start_time end_time
296053 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Alexa, stop. 1 User 3.3231299312319607e-07 0.8000203323126698
296054 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Yeah. I'll come do it. In a sec. Do you need to do some laundry? Yeah. 4 User 65.35065632817532 92.48101167676032
296055 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Yep. 3 Speaker 3 92.48101167676032 92.64101167676017
296056 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b See what these pizzas are done. 4 User 95.24101167676054 96.36101167676043
296057 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b No. No. 2 Speaker 2 96.92101167675992 97.1610316767601
296058 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b To what? 3 Speaker 3 101.01101167676006 111.09632086750298
296059 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Yeah. 5 Speaker 5 111.48632086750331 112.6063208675032
296060 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b For you? Okay. And what do you think? 1 User 119.53294923778412 122.79292923778485
296061 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b I Can I see it? 4 User 142.49647948260827 229.0881903552563
296062 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Oh, this okay. 1 User 242.37257066722032 242.53257066722017
296063 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Okay. I thought this was what you look like. When you're old. 4 User 242.6125706672201 246.65257066722006
296064 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Interesting. Yeah. 4 User 250.53257066722017 252.0525706672197
296065 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b What do you think of that as do you think that's accurate? Does that ring true? 1 User 252.33257066722035 256.4925906672197
296066 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b She's too pretty. Not that Lucy wasn't pretty but like I feel like I feel like ChatGPT always makes you look better looking. Like it it makes everything better. Right? 4 User 257.01257066721973 266.2525706672204
296067 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Yeah. Yeah. 3 Speaker 3 266.2525706672204 269.65257066722006
296068 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Like, so I have read once upon a time that that average is attractive. So they take all these faces and they average them together. 4 User 271.57255066721973 282.0425706672204
296069 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b They get more attractive as they get more average. And like, statistically, what these large language models do is kind of an average. 4 User 282.6925406672199 289.2925706672204
296070 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b And so I wonder if that's part of it. Because like whenever I do stuff that like makes me better look, you know what I mean? Like when I like take my picture and do this with it, it's like it's like it's not a better looking version of me. You know what I mean? Yeah. 4 User 289.8525706672199 305.0525706672197
296071 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b I think so. 1 User 308.58257066722035 338.2913689326433
296072 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b I don't think so. 1 User 342.5213689326429 346.28030385962757
296073 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Trying to think if I have any chargers like that. I'm pretty sure I do not 4 User 350.1903238596278 355.1603038596277
296074 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Actually, my kids have chargers. Let me see if they're their laptops look like. I don't know how interchangeable 4 User 361.6003038596273 371.4803038596274
296075 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Yeah. 3 Speaker 3 372.5603038596273 373.0403038596278
296076 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Like, it might be the right jack, but that doesn't mean it's the right amps and volts and stuff. 4 User 373.0403038596278 377.5603038596273
296077 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Went and take a shower. 4 User 381.6003038596273 399.3686089595549
296078 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Yes. K. 0 Speaker 0 400.1286289595546 401.40862895955433
296079 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b We're surrendering I do not I don't even I don't even have one. So we don't have to worry about whether or not it's gonna blow your thing up. 4 User 427.7085466765293 433.3485466765287
296080 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b I thought I had put four shirts of a certain type into this into this laundry. 4 User 435.95859667652894 440.61854667652915
296081 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b I started to put stuff in the draft. 3 Speaker 3 443.0885466765294 444.528546676529
296082 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Oh, okay. That's where they went. 4 User 444.528546676529 446.36850667652834
296083 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b That's alright. Yep. 3 Speaker 3 450.3885466765287 454.0685766765291
296084 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b Nope. Not that one. 4 User 454.7885466765292 456.5484966765289
296085 Laundry, Chargers, And Pizza Chat 135ba63a-0fbc-4612-8401-0513ba63e19b This one. 0 Speaker 0 459.1985466765291 459.8385466765285

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CREATE TABLE omi_transcript_segments (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    conversation_id TEXT NOT NULL,
    text TEXT,
    speaker_id INTEGER,
    speaker_name TEXT,
    start_time REAL,
    end_time REAL,
    FOREIGN KEY (conversation_id) REFERENCES omi_conversations(id)
);
CREATE INDEX idx_omi_segments_conv ON omi_transcript_segments(conversation_id);