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• 15 United States
• 10 France
• 8 Japan
• 7 China
• 5 Korea
• 2 Other

Patent Owner(s)

Patent Owner	Address
AMAZON TECHNOLOGIES INC	PO BOX 81226 SEATTLE WA 98108-1226

International Classification(s)

• G10L:SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION

• 2024 Application Filing Year
• G10L Class
• 1934 Applications Filed
• 150 Patents Issued To-Date
• 7.76 % Issued To-Date

Inventor(s)

Inventor Name	Address	# of filed Patents	Total Citations
Barra-Chicote, Roberto	Cambridge, GB	7	34
# of filed Patents : 7 Total Citations : 34
Breen, Andrew Paul	Norwich, GB	20	137
# of filed Patents : 20 Total Citations : 137
Drugman, Thomas Renaud	Carnieres, BE	13	40
# of filed Patents : 13 Total Citations : 40
Klimkov, Viacheslav	Gdansk, PL	9	43
# of filed Patents : 9 Total Citations : 43
Merritt, Thomas Edward	Cambridge, GB	16	47
# of filed Patents : 16 Total Citations : 47
Ronanki, Srikanth	Cambridge, GB	10	33
# of filed Patents : 10 Total Citations : 33
Trueba, Jaime Lorenzo	Cambridge, GB	10	22
# of filed Patents : 10 Total Citations : 22

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Maintenance Fees

Fee	Large entity fee	small entity fee	micro entity fee	due date
3.5 Year Payment	$1600.00	$800.00	$400.00	Mar 5, 2028
7.5 Year Payment	$3600.00	$1800.00	$900.00	Mar 5, 2032
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Surcharge after expiration - Late payment is unavoidable	$700.00	$350.00	$175.00
Surcharge after expiration - Late payment is unintentional	$1,640.00	$820.00	$410.00

Full Text

US Patent Application No: 2024/0296,827

TEXT-TO-SPEECH (TTS) PROCESSING

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Abstract

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During text-to-speech processing, a speech model creates output audio data, including speech, that corresponds to input text data that includes a representation of the speech. A spectrogram estimator estimates a frequency spectrogram of the speech; the corresponding frequency-spectrogram data is used to condition the speech model. A plurality of acoustic features corresponding to different segments of the input text data, such as phonemes, syllable-level features, and/or word-level features, may be separately encoded into context vectors; the spectrogram estimator uses these separate context vectors to create the frequency spectrogram.

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Description

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