TTS(Text to speech)

I am looking for a skilled developer to assist me with a TTS (Text to Speech) project. The project involves converting text into speech in the Telugu language.

Skills and Experience:
- Proficiency in Telugu language and familiarity with its phonetic system
- Strong knowledge and experience in TTS technologies and techniques
- Ability to integrate the TTS system with our existing platform
- Experience in working with different voice options, including both male and female voices
- Knowledge of speech synthesis markup languages (SSML) and other related technologies

Ideal Candidate:
- Has prior experience in developing TTS systems or similar projects
- Has a strong understanding of linguistic and phonetic principles
- Can work independently and efficiently to meet project deadlines
- Has excellent communication skills to collaborate with our team effectively

Duration:
The expected duration for this project is approximately 6 months.

Summary:Augmentative and Alternative Communication refers to a person's ability to converse
when they have certain communication needs. It is a hierarchical organizational structure that places
an emphasis on communication usability, communication appropriateness, and the actualization of
knowledge, judgment, and capacities. Lighter came to the specific conclusion that organizations
seeking AAC needed to enhance and integrate their knowledge, tenacity, and skills in four
interconnected areas that demonstrate communication skills: verbal, organizational, interpersonal,
and political. Data developed this idea to assert that communication abilities are influenced by a
range of psychological factors and environmental issues that foster grammar, organizational,
interpersonal, tactical, and knowledge skills. With Artificial Intelligence and IoT-based Augmentative
and Alternative Communication, The voice model communications board sought to lessen these
difficulties' impact in order to lessen some actual challenges that AAC users frequently encounter.
Objective:
 To develop and deploy an End-to-End Neural Text-to-Speech system for disorder persons
like functionality, which will be an application for benefit of social cause.
 Incorporating deep architectures for mapping linguistic features to statistics of acoustic
features and prosody for improving the naturalness of the synthesized speech.
 Implementing the statistical parametric methods for improving the intelligibility of the
synthesized
 speech.
 Integrating the developed Text to Speech system with an open-source screen reader and
deploying
 with Raspberry Pi to detect the structured text data through the tesseract Library.
 To compare the simulated results of the proposed algorithms with performance measures.
SPSS Network Model Figure depicts the SPSS block diagram. In contrast to unit-selection
synthesis, its more complicated models provide broad solutions without necessarily requiring
recorded speech in any phonetic or prosodic situations.
The work plan involves several phases:
1) Data Collection and Preprocessing
2) Conventional Methods
3) End-to-End Neural TTS Synthesizer
a. Development of Encoder network
b. Development of attention model
c. Development of Decoder
d. Post processing Net and Waveform Generation
4) Integrating with open source screen reader and Communication of data through
IoT
5) Performance comparison
6) Production