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Grapheme-to-phoneme conversion using long short-term memory recurrent neural networks
Grapheme-to-phoneme (G2P) models are key components in speech recognition and text-to-
speech systems as they describe how words are pronounced. We propose a G2P model …
speech systems as they describe how words are pronounced. We propose a G2P model …
Improving seq2seq tts frontends with transcribed speech audio
Due to the data inefficiency and low speech quality of grapheme-based end-to-end text-to-
speech (TTS), having a separate high-performance TTS linguistic frontend is still commonly …
speech (TTS), having a separate high-performance TTS linguistic frontend is still commonly …
" Play PRBLMS" Identifying and Correcting Less Accessible Content in Voice Interfaces
Voice interfaces often struggle with specific types of named content. Domain-specific
terminology and naming may push the bounds of standard language, especially in domains …
terminology and naming may push the bounds of standard language, especially in domains …
[PDF][PDF] Learning Personalized Pronunciations for Contact Name Recognition.
Automatic speech recognition that involves people's names is difficult because names follow
a long-tail distribution and they have no commonly accepted spelling or pronunciation. This …
a long-tail distribution and they have no commonly accepted spelling or pronunciation. This …
[PDF][PDF] Pronunciation Learning with RNN-Transducers.
Most speech recognition systems rely on pronunciation dictionaries to provide accurate
transcriptions. Typically, some pronunciations are carved manually, but many are produced …
transcriptions. Typically, some pronunciations are carved manually, but many are produced …
[PDF][PDF] Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks.
Word pronunciations, consisting of phoneme sequences and the associated syllabification
and stress patterns, are vital for both speech recognition and text-to-speech (TTS) systems …
and stress patterns, are vital for both speech recognition and text-to-speech (TTS) systems …
System and method for eliciting open-ended natural language responses to questions to train natural language processors
Systems and methods gathering text commands in response to a command context using a
first crowdsourced are dis cussed herein. A command context for a natural language …
first crowdsourced are dis cussed herein. A command context for a natural language …
System and method for validating natural language content using crowdsourced validation jobs
8/2014 Rhoads......................... 382/255 9, 2014 AO1G 7,045 315,307 senting whether or not
the text accurately represents the natu ral language content may be received from each of …
the text accurately represents the natu ral language content may be received from each of …
Acquiring Pronunciation Knowledge from Transcribed Speech Audio via Multi-task Learning
S Sun, K Richmond - ar** an integrated sequence-
to-sequence (Seq2Seq) linguistic frontend from a traditional pipeline-based frontend for text …
to-sequence (Seq2Seq) linguistic frontend from a traditional pipeline-based frontend for text …
System and method of recording utterances using unmanaged crowds for natural language processing
2016-07-20 Assigned to VOICEBOX TECHNOLOGIES CORPORATION reassignment
VOICEBOX TECHNOLOGIES CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST …
VOICEBOX TECHNOLOGIES CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST …