Text-to-speech synthesis (TTS) can be split into two steps: the preprocessor, which takes input text, including its encoding and formatting, and turns it into a representation that is accepted by the synthesizer, which in turn converts this representation into an acoustic waveform representing speech. TTS is commonly evaluated in terms of how intelligible or humanlike the speech is, where different synthesizers working on the same input representation are regularly compared, whereas the preprocessing is habitually ignored in TTS evaluation. Were we to evaluate preprocessing, we could evaluate it as a whole (e.g. compare its output for some input representation to a target phonemic representation) or as individual processes such as sentence ...
The purpose of a Text to Speech (TTS/T2S) synthesis is to provide artificial voice for a people and ...
The increased adoption of digital assistants makes text-to-speech (TTS) synthesis systems an indispe...
In this thesis, we aim to explore the combination of different lexical normalization methods and pro...
Text-to-speech synthesis (TTS) can be split into two steps: the preprocessor, which takes input text...
Text-to-Speech (TTS) normalization is an essential component of natural language processing (NLP) th...
Text-to-speech (TTS) systems have entered our daily lives in the form of smart assistants and many o...
A Nordic cooperative project has been started to develop a text-to-speech device for the Nordic...
In this paper we describe our text preprocessing modules for English text-to-speech synthesis. These...
This paper discusses the problem of handling “foreign ” speech sounds in Swedish speech technology s...
This paper discusses the problem of handling “foreign” speech sounds in Swedish speech technology sy...
Text-to-Speech synthesis is primarily concerned with the conversion of text into a corresponding spe...
Text normalization methods have been commonly applied to historical language or user-generated conte...
The ultimate goal of text-to-speech synthesis is to convert ordinary orthographic text into an acous...
This thesis focuses on enhancing Myanmar Text-to-Speech (TTS) system togenerate more natural synthet...
The paper describes a modular, unit selection based TTS framework, which can be used as a research ...
The purpose of a Text to Speech (TTS/T2S) synthesis is to provide artificial voice for a people and ...
The increased adoption of digital assistants makes text-to-speech (TTS) synthesis systems an indispe...
In this thesis, we aim to explore the combination of different lexical normalization methods and pro...
Text-to-speech synthesis (TTS) can be split into two steps: the preprocessor, which takes input text...
Text-to-Speech (TTS) normalization is an essential component of natural language processing (NLP) th...
Text-to-speech (TTS) systems have entered our daily lives in the form of smart assistants and many o...
A Nordic cooperative project has been started to develop a text-to-speech device for the Nordic...
In this paper we describe our text preprocessing modules for English text-to-speech synthesis. These...
This paper discusses the problem of handling “foreign ” speech sounds in Swedish speech technology s...
This paper discusses the problem of handling “foreign” speech sounds in Swedish speech technology sy...
Text-to-Speech synthesis is primarily concerned with the conversion of text into a corresponding spe...
Text normalization methods have been commonly applied to historical language or user-generated conte...
The ultimate goal of text-to-speech synthesis is to convert ordinary orthographic text into an acous...
This thesis focuses on enhancing Myanmar Text-to-Speech (TTS) system togenerate more natural synthet...
The paper describes a modular, unit selection based TTS framework, which can be used as a research ...
The purpose of a Text to Speech (TTS/T2S) synthesis is to provide artificial voice for a people and ...
The increased adoption of digital assistants makes text-to-speech (TTS) synthesis systems an indispe...
In this thesis, we aim to explore the combination of different lexical normalization methods and pro...