Text to Speech

Text to Speech for text, websites, and PDFs.

● Sentence reading function

Read out the entered text with a simple operation.

● Read aloud the web-page article

Enter a URL to extract the text and read it out loud.

● Share URL from other apps

Share URLs from other apps, such as browsers and news apps, and read the text out loud.

● Supports files in various formats

Text can be read from PDF, TEXT, docx, xlsx, pptx, docm, xlsm, and pptm files.

● Save audio file

Save the text as an audio file.

● Voice settings

Adjust the reading speed and pitch.

● Easy operation

Easy and intuitive to use.

● Supports dark theme

Consistent design with beautiful dark mode.

Text to Speech (TTS) is a technology that converts digital text into spoken audio. It allows computers, devices, and software to read aloud written text, providing an accessible way for people with visual impairments or other disabilities to consume written content. TTS is also used in a variety of applications, such as language learning, customer service, and entertainment.

How Does Text to Speech Work?

TTS systems typically consist of three main components:

1. Text Preprocessing: The input text is analyzed to identify words, phrases, and punctuation. This process includes tokenization, which breaks down the text into individual units, and normalization, which converts the text to a consistent format.

2. Text-to-Phoneme Conversion: The preprocessed text is converted into a sequence of phonemes, which are the basic units of speech. This process involves using a grapheme-to-phoneme (G2P) model, which maps letters or letter combinations to the corresponding phonemes.

3. Speech Synthesis: The sequence of phonemes is converted into an audio waveform. This process involves using a speech synthesizer, which employs various techniques to generate synthetic speech that mimics human voices.

Types of Text to Speech Systems

There are two main types of TTS systems:

1. Concatenative TTS: This approach combines pre-recorded speech units, such as phonemes or syllables, to create synthesized speech. Concatenative TTS systems offer high-quality audio, but they can be limited in terms of flexibility and naturalness.

2. Synthetic TTS: This approach generates speech from scratch using mathematical models. Synthetic TTS systems offer greater flexibility and naturalness, but the audio quality may be lower than concatenative systems.

Applications of Text to Speech

TTS technology has a wide range of applications, including:

1. Accessibility: TTS enables individuals with visual impairments or other disabilities to access written content by listening to it.

2. Language Learning: TTS can be used to assist language learners by providing audio pronunciation of written text.

3. Customer Service: TTS can be used in automated customer service systems to provide information or support to callers.

4. Entertainment: TTS is used in video games, audiobooks, and other entertainment applications to provide spoken narration or dialogue.

Recent Developments in Text to Speech

TTS technology is constantly evolving, with ongoing research and development in areas such as:

1. Natural Language Processing (NLP): NLP techniques are used to improve the accuracy and naturalness of TTS systems by understanding the context and intent of the input text.

2. Machine Learning: Machine learning algorithms are used to train TTS models, enabling them to learn from large datasets of speech data.

3. Neural Networks: Neural networks are employed in TTS systems to enhance speech quality and naturalness by mimicking the human speech production process.

Conclusion

Text to Speech technology has become an essential tool for accessibility, education, entertainment, and a variety of other applications. With ongoing advancements in NLP, machine learning, and neural networks, TTS systems are expected to continue improving in accuracy, naturalness, and versatility.