At&t Intellectual Property I, L.p.

Nuance Communications, Inc.

Cerence Operating Company

Lernout & Hauspie Speech Products N.v.

At&t Intellecutal Property Ii, L.p.

David Eugene Schulz

Beverly Gustafson

Louise Loney

Steven Lawrence Davis

Shane Fetters

Srinivas Bangalore

Junlan Feng

Ann K Syrdal

Juergen Schroeter

Mazin E Gilbert

Mazin G Rahim

Colin W Wightman

Michael D Crovitz

A system and method are disclosed for generating customized text-to-speech voices for a particular application. The method comprises generating a custom text-to-speech voice by selecting a voice for generating a custom text-to-speech voice associated with a domain, collecting text data associated with the domain from a pre-existing text data source and using the collected text data, generating an in-domain inventory of synthesis speech units by selecting speech units appropriate to the domain via a search of a pre-existing inventory of synthesis speech units, or by recording the minimal inventory for a selected level of synthesis quality. The text-to-speech custom voice for the domain is generated utilizing the in-domain inventory of synthesis speech units. Active learning techniques may also be employed to identify problem phrases wherein only a few minutes of recorded data is necessary to deliver a high quality TTS custom voice.

System and method for generating customized text-to-speech voices

Disclosed are various elements of a toolkit used for generating a TTS voice for use in a spoken dialog system. The invention in each case may be in the form of the system, a computer-readable medium or a method for generating the TTS voice. An embodiment of the invention relates to a method for preparing a text-to-speech (TTS) voice for testing and verification. The method comprises processing a TTS voice to be ready for testing, synthesizing words utilizing the TTS voice, presenting to a person a smallest possible subset that contains at least N instances of a group of units in the TTS voice, receiving information from the person associated with corrections needed to the TTS voice and making corrections to the TTS voice according to the received information.

System and method for testing a TTS voice

Disclosed herein are various aspects of a toolkit used for generating a TTS voice for use in a spoken dialog system. The embodiments in each case may be in the form of the system, a computer-readable medium or a method for generating the TTS voice. An embodiment of the invention relates to a method of tracking progress in developing a text-to-speech (TTS) voice. The method comprises insuring that a corpus of recorded speech contains reading errors and matches an associated written text, creating a tuple for each utterance in the corpus and tracking progress for each utterance utilizing the tuple. Various parameters may be tracked using the tuple but the tuple provides a means for enabling multiple workers to efficiently process a database of utterance in preparation of a TTS voice.

System and method of developing a TTS voice

Disclosed herein are various innovations associated with a toolkit used for generating a TTS voice for use in a spoken dialog system. The inventions in each case may be in the form of the system, a computer-readable medium or a method for generating the TTS voice. An embodiment of the invention relates to a method of enabling human workers to find errors when developing a text-to-speech (TTS) voice. The method comprises presenting a graphical user interface wherein after a first pass of automatic speech recognition (ASR) of a speech corpus is complete, the interface presents to a worker a graphical representation of an alignment of the ASR results, associated words and phonemes and the audio, receiving a graphical input from the worker associated with a selection of a word or phoneme and presenting the audio associated with the selected word or phoneme.

System and method for correcting errors when generating a TTS voice

The present invention provides various elements of a toolkit used for generating a TTS voice for use in a spoken dialog system. The embodiments in each case may be in the form of the system, a computer-readable medium or a method for generating the TTS voice. One embodiment of the invention relates to a method of correcting a database associated with the development of a text-to-speech (TTS) voice. The method comprises generating a pronunciation dictionary for use with a TTS voice, generating a TTS voice to a stage wherein it is prepared to be tested before being deployed, identifying mislabeled phonetic units associated with the TTS voice, for each identified mislabeled phonetic unit, linking to an entry within the pronunciation dictionary to correct the entry and deleting utterances and all associated data for unacceptable utterances.

System and method for repairing a TTS voice database

Disclosed are various elements of a toolkit used for generating a TTS voice for use in a spoken dialog system. The embodiments in each case may be in the form of the system, a computer-readable medium or a method for generating the TTS voice. One embodiment of the invention relates to a method of generating a database for a TTS voice. The method comprises matching every spoken word associated with a TTS voice database with a smallest set of possible pronunciations for each word. The smallest set is generated by automatically determining a dialect and linguistic context using linguistic rules, empirically determining idiosyncratic speaker characteristics and determining a subject domain. The method further comprises dynamically generating a pronunciation dictionary on a word-by-word basis using the smallest set.

System and method for preparing a pronunciation dictionary for a text-to-speech voice

A method for editing written text in a text editor which automatically aligns a cursor in the written text on a screen with a particular spoken word during playback of an audio recording. The method may comprise aligning the cursor in a targeted insertion point in response to a user's input, performing one or more editing functions at the targeted insertion point, and realigning the cursor with the spoken words.

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St. Peter, MN, United States of America

David Eugene Schulz