2 citations · 6 across the 9 of their papers we have counts for
10 papers
Kinship in Speech: Leveraging Linguistic Relatedness for Zero-Shot TTS in Indian Languages
Utkarsh Pathak, Chandra Sai Krishna Gunda, Anusha Prakash +2
Text-to-speech (TTS) systems typically require high-quality studio data and accurate transcriptions for training. India has 1369 languages, with 22 official using 13 scripts. Train…
A Unified Framework for Collecting Text-to-Speech Synthesis Datasets for 22 Indian Languages
Sujitha Sathiyamoorthy, N Mohana, Anusha Prakash +1
The performance of a text-to-speech (TTS) synthesis model depends on various factors, of which the quality of the training data is of utmost importance. Millions of data are collec…
Exploring an Inter-Pausal Unit (IPU) based Approach for Indic End-to-End TTS Systems
Anusha Prakash, Hema A Murthy
Sentences in Indian languages are generally longer than those in English. Indian languages are also considered to be phrase-based, wherein semantically complete phrases are concate…
Fast and small footprint Hybrid HMM-HiFiGAN based system for speech synthesis in Indian languages
Sudhanshu Srivastava, Ishika Gupta, Anusha Prakash +2
Hidden-Markov-model (HMM) based text-to-speech (HTS) offers flexibility in speaking styles along with fast training and synthesis while being computationally less intense. HTS perf…
HMM-based data augmentation for E2E systems for building conversational speech synthesis systems
Ishika Gupta, Anusha Prakash, Jom Kuriakose +1
This paper proposes an approach to build a high-quality text-to-speech (TTS) system for technical domains using data augmentation. An end-to-end (E2E) system is trained on hidden M…
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages
Anusha Prakash, Arun Kumar, Ashish Seth +24
Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation in…
Towards Developing State-of-the-Art TTS Synthesisers for 13 Indian Languages with Signal Processing aided Alignments
Anusha Prakash, S Umesh, Hema A Murthy
End-to-end (E2E) systems synthesise high-quality speech, but this typically requires a large amount of data. As E2E synthesis progressed from Tacotron to FastSpeech2, it became evi…
Dual Script E2E framework for Multilingual and Code-Switching ASR
Mari Ganesh Kumar, Jom Kuriakose, Anand Thyagachandran +6
India is home to multiple languages, and training automatic speech recognition (ASR) systems for languages is challenging. Over time, each language has adopted words from other lan…
Exploration of End-to-end Synthesisers forZero Resource Speech Challenge 2020
Karthik Pandia D S, Anusha Prakash, Mano Ranjith Kumar +1
A Spoken dialogue system for an unseen language is referred to as Zero resource speech. It is especially beneficial for developing applications for languages that have low digital…
Generic Indic Text-to-speech Synthesisers with Rapid Adaptation in an End-to-end Framework
Anusha Prakash, Hema A Murthy
Building text-to-speech (TTS) synthesisers for Indian languages is a difficult task owing to a large number of active languages. Indian languages can be classified into a finite se…