STT: Results explained
This article aims on giving more details about Speech To Text outputs and hints on how to tailor Speech To Text to suit best your needs.
In the process of transcribing speech, the Speech To Text technology usually identifies multiple alternatives for individual speech segments, as multiple phrases can have similar pronunciations, possibly with different word boundaries, e.g. “eight tea machines” vs. “eighty machines”.
The technology provides various output types which show only single or multiple transcription alternatives.
For processing realtime streams, two result modes are supported – one mode provides complete transcription, second mode provides incremental results.
Output types
- One-best output provides transcription containing only the highest-scoring words
- N-best output provides multiple alternatives for entire sentences or longer sequences of words
- Confusion network output is similar to n-best output, just the multiple alternatives are returned for individual words
One-best output
{
"channel_id": 0,
"score": -0.04235574,
"confidence": 0.95852876,
"start": 3600000,
"end": 4190000,
"word": "you"
}
Start– and end time is in HTK units. 1 HTK unit equals to 100 nanoseconds ==> dividing the values by 10000 gives the time in milliseconds.
Score is logarithm of probability from {-inf,0} interval – the higher score, the higher probability that the word was spoken in that time interval.
Confidence is a probability from {0,1} interval. It’s calculated from the score value using e score formula. Multiplying the value by 100 gives the confidence percentage.
NOTE: Some ancient legacy models do not support confidence. These can be recognized by recording-level confidence value of -1.
"one_best_result": {
"confidence": -1,
"segmentation": [
...
N-best output
{
"phrase": "can you hear me okay i wanted to",
"channel": 0,
"score": 509.71384,
"confidence": 0.33733934,
"start": 1500000,
"end": 28200000
}
This format can be used by analytical applications to process further the alternatives. It can be also useful when a speaker does not pronounce a word correctly and the one-best results do not correspond to what the speaker actually said.
Start– and end time is in HTK units. 1 HTK unit equals to 100 nanoseconds ==> dividing the values by 10000 gives the time in milliseconds.
Score is a rate of match with the acoustic and language model from {-inf,+inf} interval.
Confidence is normalized probability from {0,1} interval. Multiplying the value by 100 gives the confidence percentage.
Confusion network output
{
"time_slot": 1,
"start_time": 1500000,
"end_time": 3600000,
"word": "I",
"posterior_probability": 0.986744345985676,
"channel": 0
}
Confusion networks can be used for further processing in a similar way as the n-best output.
Time slot is a period of time for which the alternatives are determined.
Start– and end time of the given time slot is in HTK units. 1 HTK unit equals to 100 nanoseconds ==> dividing the values by 10000 gives the time in milliseconds.
Posterior probability is a normalized probability from {0,1} interval for that word within the given time slot. Multiplying the value by 100 gives the probability percentage. Sum of all probabilities within the given time slot equals to 1. Word with the highest probability in the given time slot goes to the one-best output (see also STT: How to properly convert Confusion Network results to One-best article).
Hint:
The start- and end times of alternatives within a single time slot correspond precisely to the given alternative.
In legacy versions, all alternatives within a single time slot had identical start- and end times common to the entire time slot.
| Current | Legacy (up to 3.23) |
{
"time_slot" : 11,
"start_time" : 17700000,
"end_time" : 21850000,
"word" : "tom",
"posterior_probability" : 0.3793025,
"channel" : 0
},
{
"time_slot" : 11,
"start_time" : 17650000,
"end_time" : 21850000,
"word" : "pong",
"posterior_probability" : 0.1612993,
"channel" : 0
},
{
"time_slot" : 11,
"start_time" : 17650000,
"end_time" : 21850000,
"word" : "tong",
"posterior_probability" : 0.1344358,
"channel" : 0
},
{
"time_slot" : 11,
"start_time" : 17650000,
"end_time" : 21850000,
"word" : "talk",
"posterior_probability" : 0.0215998,
"channel" : 0
},
{
"time_slot" : 11,
"start_time" : 17650000,
"end_time" : 18110000,
"word" : "<silence\/>",
"posterior_probability" : 0.3033622,
"channel" : 0
}
|
{
"time_slot" : 10,
"start_time" : 17650000,
"end_time" : 18850000,
"word" : "<silence\/>",
"posterior_probability" : 0.3917705,
"channel" : 0
},
{
"time_slot" : 10,
"start_time" : 17650000,
"end_time" : 18850000,
"word" : "tom",
"posterior_probability" : 0.2152909,
"channel" : 0
},
{
"time_slot" : 10,
"start_time" : 17650000,
"end_time" : 18850000,
"word" : "pong",
"posterior_probability" : 0.1557797,
"channel" : 0
},
{
"time_slot" : 10,
"start_time" : 17650000,
"end_time" : 18850000,
"word" : "tong",
"posterior_probability" : 0.1334270,
"channel" : 0
},
{
"time_slot" : 10,
"start_time" : 17650000,
"end_time" : 18850000,
"word" : "<null\/>",
"posterior_probability" : 0.0755286,
"channel" : 0
},
{
"time_slot" : 10,
"start_time" : 17650000,
"end_time" : 18850000,
"word" : "talk",
"posterior_probability" : 0.0282029,
"channel" : 0
}
|
Special tokens in outputs
The outputs can contain the following special tokens:
| Token (5th STT generation and newer) | Token (legacy STT generations) | Meaning |
<segment> |
<s> |
start of utterance |
</segment> |
</s> |
end of utterance |
<silence/> |
_SILENCE_ or <sil/> |
silent part (or no speech detected) |
<null/> |
_DELETE_ |
time slot should not go to one-best output |
Realtime stream processing output modes
NOTE: Only single-channel (mono) audio is supported in realtime streams.
Complete mode
This is the default mode selected for returning transcription of realtime stream, if no other mode is explicitly selected when starting the transcription, or when the result_mode=complete parameter is used.
In this mode, each request for transcription results returns the complete transcription since the beginning.
Incremental mode
This mode is used if the transcription is started using result_mode=incremental parameter in the request.
In this mode, each request for transcription results returns only changes since the last request for results.
In incremental mode, the received results may correct results received previously, e.g. when one request was sent in a middle of a word, the next request contains a correction, i.e. the correct entire word. For example, when saying the word “happiness”, the first result may contain a word “happy”, and next result the word “happiness” (with the “start” and “end” times correspondingly changed… and the “score” and “confidence” values too).
Such corrections are indicated by a delete_n_words value in the results. This value means how many previously received words should be deleted and replaced with newly received ones.
Hint:
These corrections never go back beyond end-of-segment boundary (</segment> token). In other words, they may happen only within a single segment boundaries.
Realtime stream processing ouput
Historically, realtime stream processing provided only single output type – one-best.
The one-best results are updated continuosly, i.e. as soon as a new speech element is recognized, it’s immediately available in ouput.
To better support voicebot applications, following additions were implemented:
sentence_infoarray, containingconfidencevalue for each sentence present in the one-best results (since version 3.24)
(a sentence is a part of output from<segment>to</segment>token… i.e. if there are 2 such sentences in the results, the sentence_info array contains 2 elements)n_best_resultobject, containing additional n-best output (since version 3.30)
The n-best results are updated after each segment/sentence, i.e. they are only available in output when end-of-segment boundary (</segment> token) is encountered in the one-best output.
Examples
Examples of new generation and legacy file processing Speech To Text outputs:
...
{
"channel_id" : 0,
"score" : 0,
"confidence" : 0,
"start" : 0,
"end" : 1750000,
"word" : "<silence\/>"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 1750000,
"end" : 6250000,
"word" : "<segment>"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 6250000,
"end" : 8050000,
"word" : "i"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 8050000,
"end" : 10450000,
"word" : "guess"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 10450000,
"end" : 11950000,
"word" : "we"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 11950000,
"end" : 12850000,
"word" : "can"
},
{
"channel_id" : 0,
"score" : -0.07130883,
"confidence" : 0.9311743,
"start" : 12850000,
"end" : 14350000,
"word" : "go"
},
{
"channel_id" : 0,
"score" : -0.07130883,
"confidence" : 0.9311743,
"start" : 14350000,
"end" : 16450000,
"word" : "on"
},
{
"channel_id" : 0,
"score" : -0.096377626,
"confidence" : 0.908121,
"start" : 16450000,
"end" : 17700000,
"word" : "and"
},
{
"channel_id" : 0,
"score" : -0.9694211,
"confidence" : 0.37930256,
"start" : 17700000,
"end" : 21850000,
"word" : "tom"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 21850000,
"end" : 26650000,
"word" : "<silence\/>"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 26650000,
"end" : 29050000,
"word" : "can"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 29050000,
"end" : 31750000,
"word" : "hear"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 31750000,
"end" : 33550000,
"word" : "me"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 33550000,
"end" : 39850000,
"word" : "<silence\/>"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 39850000,
"end" : 46450000,
"word" : "okay"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 46450000,
"end" : 47350000,
"word" : "<silence\/>"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 47350000,
"end" : 49450000,
"word" : "i"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 49450000,
"end" : 52750000,
"word" : "wanted"
},
{
"channel_id" : 0,
"score" : -0.06587691,
"confidence" : 0.9362461,
"start" : 52750000,
"end" : 53650000,
"word" : "to"
},
{
"channel_id" : 0,
"score" : -0.026506705,
"confidence" : 0.97384155,
"start" : 53650000,
"end" : 57240000,
"word" : "call"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 57240000,
"end" : 58750000,
"word" : "you"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 58750000,
"end" : 59950000,
"word" : "and"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 59950000,
"end" : 62350000,
"word" : "give"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 62350000,
"end" : 63250000,
"word" : "you"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 63250000,
"end" : 64450000,
"word" : "an"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 64450000,
"end" : 68050000,
"word" : "update"
},
{
"channel_id" : 0,
"score" : -1.0996883,
"confidence" : 0.33297482,
"start" : 68050000,
"end" : 70050000,
"word" : "now"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 70050000,
"end" : 72850000,
"word" : "was"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 72850000,
"end" : 76750000,
"word" : "going"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 76750000,
"end" : 80440000,
"word" : "on"
},
{
"channel_id" : 0,
"score" : 0,
"confidence" : 1,
"start" : 80440000,
"end" : 80440000,
"word" : "<\/segment>"
},
...
...
"variant" : [
{
"phrase" : "i guess we can go on and tom can hear me okay i wanted to call you and give you an update now was going on",
"channel" : 0,
"score" : 1193.6251,
"confidence" : 0.20036009
},
{
"phrase" : "i guess we can go on and pong can hear me okay i wanted to call you and give you an update now was going on",
"channel" : 0,
"score" : 1192.7487,
"confidence" : 0.20000915
},
{
"phrase" : "i guess we can go on and kong can hear me okay i wanted to call you and give you an update now was going on",
"channel" : 0,
"score" : 1192.6539,
"confidence" : 0.19997129
},
{
"phrase" : "i guess we can go on and tong can hear me okay i wanted to call you and give you an update now was going on",
"channel" : 0,
"score" : 1192.3292,
"confidence" : 0.19984145
},
{
"phrase" : "i guess we can go on and tom can hear me okay i wanted to call you and give you an update i'll was going on",
"channel" : 0,
"score" : 1192.2706,
"confidence" : 0.19981802
}
]
...
...
{
"time_slot" : 0,
"start_time" : 0,
"end_time" : 1750000,
"word" : "_SILENCE_",
"posterior_probability" : 0,
"channel" : 0
},
{
"time_slot" : 1,
"start_time" : 1750000,
"end_time" : 6250000,
"word" : "<segment>",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 2,
"start_time" : 6250000,
"end_time" : 8050000,
"word" : "i",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 3,
"start_time" : 8050000,
"end_time" : 10440000,
"word" : "guess",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 4,
"start_time" : 10150000,
"end_time" : 10450000,
"word" : "<silence\/>",
"posterior_probability" : 0.012546446098033464,
"channel" : 0
},
{
"time_slot" : 4,
"start_time" : 0,
"end_time" : 0,
"word" : "<null\/>",
"posterior_probability" : 0.987453555866488,
"channel" : 0
},
{
"time_slot" : 5,
"start_time" : 10450000,
"end_time" : 11950000,
"word" : "we",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 6,
"start_time" : 11950000,
"end_time" : 12850000,
"word" : "can",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 7,
"start_time" : 12850000,
"end_time" : 14350000,
"word" : "go",
"posterior_probability" : 0.9311742741997164,
"channel" : 0
},
{
"time_slot" : 7,
"start_time" : 0,
"end_time" : 0,
"word" : "<null\/>",
"posterior_probability" : 0.06882572183050334,
"channel" : 0
},
{
"time_slot" : 8,
"start_time" : 12850000,
"end_time" : 16450000,
"word" : "gone",
"posterior_probability" : 0.06882572183050334,
"channel" : 0
},
{
"time_slot" : 8,
"start_time" : 14350000,
"end_time" : 16450000,
"word" : "on",
"posterior_probability" : 0.9311742741997164,
"channel" : 0
},
{
"time_slot" : 9,
"start_time" : 16450000,
"end_time" : 17650000,
"word" : "and",
"posterior_probability" : 0.9081210211463454,
"channel" : 0
},
{
"time_slot" : 9,
"start_time" : 16450000,
"end_time" : 17650000,
"word" : "in",
"posterior_probability" : 0.09187897227139633,
"channel" : 0
},
{
"time_slot" : 10,
"start_time" : 17650000,
"end_time" : 17950000,
"word" : "<silence\/>",
"posterior_probability" : 0.07445526308627319,
"channel" : 0
},
{
"time_slot" : 10,
"start_time" : 0,
"end_time" : 0,
"word" : "<null\/>",
"posterior_probability" : 0.9255447284442746,
"channel" : 0
},
{
"time_slot" : 11,
"start_time" : 17700000,
"end_time" : 21850000,
"word" : "tom",
"posterior_probability" : 0.3793025570943731,
"channel" : 0
},
{
"time_slot" : 11,
"start_time" : 17650000,
"end_time" : 21850000,
"word" : "pong",
"posterior_probability" : 0.16129939404151145,
"channel" : 0
},
{
"time_slot" : 11,
"start_time" : 17650000,
"end_time" : 21850000,
"word" : "tong",
"posterior_probability" : 0.1344358893882311,
"channel" : 0
},
{
"time_slot" : 11,
"start_time" : 17650000,
"end_time" : 21850000,
"word" : "talk",
"posterior_probability" : 0.021599880199974865,
"channel" : 0
},
{
"time_slot" : 11,
"start_time" : 17650000,
"end_time" : 18110000,
"word" : "<silence\/>",
"posterior_probability" : 0.3033622683999196,
"channel" : 0
},
{
"time_slot" : 12,
"start_time" : 18850000,
"end_time" : 21850000,
"word" : "on",
"posterior_probability" : 0.056687105983052107,
"channel" : 0
},
{
"time_slot" : 12,
"start_time" : 17950000,
"end_time" : 21850000,
"word" : "kong",
"posterior_probability" : 0.2466751479018553,
"channel" : 0
},
{
"time_slot" : 12,
"start_time" : 0,
"end_time" : 0,
"word" : "<null\/>",
"posterior_probability" : 0.6966377414561294,
"channel" : 0
},
{
"time_slot" : 13,
"start_time" : 21850000,
"end_time" : 26650000,
"word" : "<silence\/>",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 14,
"start_time" : 26650000,
"end_time" : 29050000,
"word" : "can",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 15,
"start_time" : 29050000,
"end_time" : 31750000,
"word" : "hear",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 16,
"start_time" : 31750000,
"end_time" : 33550000,
"word" : "me",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 17,
"start_time" : 33550000,
"end_time" : 39850000,
"word" : "<silence\/>",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 18,
"start_time" : 39850000,
"end_time" : 46450000,
"word" : "okay",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 19,
"start_time" : 46450000,
"end_time" : 47350000,
"word" : "<silence\/>",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 20,
"start_time" : 47350000,
"end_time" : 49450000,
"word" : "i",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 21,
"start_time" : 49450000,
"end_time" : 52750000,
"word" : "wanted",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 22,
"start_time" : 52750000,
"end_time" : 53650000,
"word" : "to",
"posterior_probability" : 0.9362461010421594,
"channel" : 0
},
{
"time_slot" : 22,
"start_time" : 52750000,
"end_time" : 53650000,
"word" : "the",
"posterior_probability" : 0.06375390219336789,
"channel" : 0
},
{
"time_slot" : 23,
"start_time" : 53650000,
"end_time" : 57250000,
"word" : "call",
"posterior_probability" : 0.973841514002162,
"channel" : 0
},
{
"time_slot" : 23,
"start_time" : 53650000,
"end_time" : 56880000,
"word" : "car",
"posterior_probability" : 0.026158485997024156,
"channel" : 0
},
{
"time_slot" : 24,
"start_time" : 56650000,
"end_time" : 56950000,
"word" : "<silence\/>",
"posterior_probability" : 0.0057991469999294646,
"channel" : 0
},
{
"time_slot" : 24,
"start_time" : 0,
"end_time" : 0,
"word" : "<null\/>",
"posterior_probability" : 0.9942008528246066,
"channel" : 0
},
{
"time_slot" : 25,
"start_time" : 57240000,
"end_time" : 58750000,
"word" : "you",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 26,
"start_time" : 58750000,
"end_time" : 59950000,
"word" : "and",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 27,
"start_time" : 59950000,
"end_time" : 62350000,
"word" : "give",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 28,
"start_time" : 62350000,
"end_time" : 63250000,
"word" : "you",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 29,
"start_time" : 63250000,
"end_time" : 64450000,
"word" : "an",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 30,
"start_time" : 64450000,
"end_time" : 68290000,
"word" : "update",
"posterior_probability" : 1,
"channel" : 0
},
{
"time_slot" : 31,
"start_time" : 67980000,
"end_time" : 68280000,
"word" : "<silence\/>",
"posterior_probability" : 0.00491605467144139,
"channel" : 0
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"start_time" : 80650000,
"end_time" : 80850000,
"word" : "<\/s>",
"posterior_probability" : 1,
"channel" : 0
}
...
Example of new generation realtime stream processing Speech To Text output:
(results contain 4 sentences, i.e. the sentence_info array has 4 elements… and the n_best_result contains 4 phrase_variants)
{
"result" : {
"version" : 5,
"name" : "SpeechRecognitionOnlineResult",
"model" : "EN_US_5",
"is_last" : true,
"delete_n_words" : 0,
"silence_length" : 0,
"one_best_result" : {
"segmentation" : [
{
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"score" : 0,
"confidence" : 0,
"start" : 0,
"end" : 5100000,
"word" : "<silence\/>"
},
{
"channel_id" : 0,
"score" : 16.69739,
"confidence" : 8.6746855,
"start" : 5100000,
"end" : 6300000,
"word" : "<segment>"
},
{
"channel_id" : 0,
"score" : 8.276354,
"confidence" : 16.829815,
"start" : 6300000,
"end" : 7800000,
"word" : "i"
},
{
"channel_id" : 0,
"score" : 13.861362,
"confidence" : 30.684898,
"start" : 7800000,
"end" : 10200000,
"word" : "guess"
},
{
"channel_id" : 0,
"score" : 5.3039703,
"confidence" : 35.9949,
"start" : 10200000,
"end" : 11700000,
"word" : "we"
},
{
"channel_id" : 0,
"score" : 5.676548,
"confidence" : 41.633205,
"start" : 11700000,
"end" : 12600000,
"word" : "can"
},
{
"channel_id" : 0,
"score" : 9.360081,
"confidence" : 51.079575,
"start" : 12600000,
"end" : 14400000,
"word" : "go"
},
{
"channel_id" : 0,
"score" : 11.62117,
"confidence" : 62.52499,
"start" : 14400000,
"end" : 16500000,
"word" : "on"
},
{
"channel_id" : 0,
"score" : 7.0505524,
"confidence" : 69.69626,
"start" : 16500000,
"end" : 17700000,
"word" : "and"
},
{
"channel_id" : 0,
"score" : 11.8624115,
"confidence" : 81.689224,
"start" : 17700000,
"end" : 21900000,
"word" : "tom"
},
{
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"score" : 47.84456,
"confidence" : 129.50972,
"start" : 21900000,
"end" : 26700000,
"word" : "<silence\/>"
},
{
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"score" : 12.641907,
"confidence" : 142.035,
"start" : 26700000,
"end" : 29100000,
"word" : "can"
},
{
"channel_id" : 0,
"score" : 16.164597,
"confidence" : 158.22461,
"start" : 29100000,
"end" : 31800000,
"word" : "hear"
},
{
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"score" : 14.25383,
"confidence" : 172.59941,
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"end" : 33600000,
"word" : "me"
},
{
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"score" : 45.672592,
"confidence" : 217.33438,
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"end" : 37800000,
"word" : "<\/segment>"
},
{
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"word" : "<silence\/>"
},
{
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"score" : 18.455282,
"confidence" : 10.441687,
"start" : 38400000,
"end" : 39600000,
"word" : "<segment>"
},
{
"channel_id" : 0,
"score" : 39.1977,
"confidence" : 49.599285,
"start" : 39600000,
"end" : 46200000,
"word" : "okay"
},
{
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"score" : 8.169598,
"confidence" : 57.79995,
"start" : 46200000,
"end" : 47400000,
"word" : "<silence\/>"
},
{
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"score" : 8.103287,
"confidence" : 65.8135,
"start" : 47400000,
"end" : 49200000,
"word" : "i"
},
{
"channel_id" : 0,
"score" : 19.919518,
"confidence" : 85.66101,
"start" : 49200000,
"end" : 52500000,
"word" : "wanted"
},
{
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"score" : 5.430809,
"confidence" : 91.16066,
"start" : 52500000,
"end" : 53700000,
"word" : "to"
},
{
"channel_id" : 0,
"score" : 10.221802,
"confidence" : 101.333206,
"start" : 53700000,
"end" : 57000000,
"word" : "call"
},
{
"channel_id" : 0,
"score" : 13.082092,
"confidence" : 114.39673,
"start" : 57000000,
"end" : 58800000,
"word" : "you"
},
{
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"score" : 4.9276657,
"confidence" : 119.32156,
"start" : 58800000,
"end" : 59700000,
"word" : "and"
},
{
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"score" : 12.460022,
"confidence" : 131.8381,
"start" : 59700000,
"end" : 62100000,
"word" : "give"
},
{
"channel_id" : 0,
"score" : 12.44931,
"confidence" : 144.1773,
"start" : 62100000,
"end" : 63300000,
"word" : "you"
},
{
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"score" : 4.1338806,
"confidence" : 148.41356,
"start" : 63300000,
"end" : 64500000,
"word" : "an"
},
{
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"score" : 19.068665,
"confidence" : 167.48984,
"start" : 64500000,
"end" : 68700000,
"word" : "update"
},
{
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"score" : 6.667557,
"confidence" : 174.16838,
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"end" : 69900000,
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},
{
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{
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{
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"confidence" : 278.27808,
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{
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},
{
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{
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"word" : "distribute"
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{
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{
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"score" : 25.454468,
"confidence" : 363.279,
"start" : 102000000,
"end" : 106800000,
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{
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"score" : 7.0868835,
"confidence" : 370.41168,
"start" : 106800000,
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"word" : "like"
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{
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},
{
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"confidence" : 393.62146,
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"end" : 115200000,
"word" : "talking"
},
{
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"start" : 115200000,
"end" : 118500000,
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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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"confidence" : 647.2899,
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{
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"confidence" : 649.25183,
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{
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{
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