Schwa Deletion in Hindi Language Speech Synthesis

Magdum, Damodar; Patil, Tejaswini; Maloji, Suman

doi:10.35940/ijeat.f1042.0886s19

IJEAT

2019

DOI: 10.35940/ijeat.f1042.0886s19

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Schwa Deletion in Hindi Language Speech Synthesis

Damodar Magdum¹,

Tejaswini Patil²,

Suman Maloji³

Abstract: Schwa deletion is important factor for conversion of Grapheme to Phoneme. In Hindi language each consonant has weak vowel. This weak vowel is called as inherent schwa. These schwa is deleted some cases in pronunciation. Written form and speech forms are different in Indian language. Schwa plays important role in speech form. Deletion and retention of weak vowel decides how words are pronounced. Words morphology is main factors that affects pronunciation. In current paper, we describe schwa handling, deletion a… Show more

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2023

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Cited by 3 publications

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A seminatural approach towards restoration, classification, and pattern extraction from heritage Hindi poetry: A probabilistic case study with Dohā chanda

Naaz

Singh

2023

Digital Scholarship in the Humanities

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Indian literary heritage is vast and is of great importance; to explore it, one has to devote them in studying dialects (Khariboli, Haryanavi, Brajbhasha, Awadhi, Bhojpuri, Marwari, etc.) especially when old Hindi is under the lens of observation. Chanda are poetic compositions that have well-defined structures. Dohā is a kind of chanda which, in our work, has been explored using Kabir’s compositions as a case study. Kabir represents the cult of poets who relied on oral means for the propagation and consumption of poetry. The poems were communicated to the later generation through simple acts of recitation and hearing, leading to obvious mutation and multiple versions of the same compositions when documented later and hence needs restoration (at least metrically). Using the knowledge from the state-of-art models metadata generator, Text2Mātrā, and RPaGen and extending beyond them, this article is first of its kind to present Kabir’s dohā within the scope of restoration, metrical computation, and statistics. Starting with the restoration process, the proposed algorithms generate data that are subjected to suitable statistical models. These models highlight the trends in the dataset, which is helpful in realizing abstract patterns inside the textual data.

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A seminatural approach towards restoration, classification, and pattern extraction from heritage Hindi poetry: A probabilistic case study with Dohā chanda

Naaz

Singh

2023

Digital Scholarship in the Humanities

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KomalaandKaṭhora: A Novel Approach Towards Classification of Hindi Poetry

Singh

Naaz

2023

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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Literary compositions are very often analyzed using various constituent units like words, phrases, sentences, and paragraphs. Unlike the conventional research that focuses on the aforementioned constituent units, our task is a statistical effort carried out on the most fundamental unit of any literary composition called varna , or character, followed by automated classification using learning algorithms. This article is a case study on the Hindi adaptations of two significant literary pieces, namely, Jana-Gaṇa-Mana and Vande-Mātaram , and acknowledging that the two songs being studied belong to different classes based on their bhava, i.e., the inherent emotion of the poem. The present task is the first of its kind that uses the concept of komala and kaṭhora varna to establish diversity between the two. The two-proportion Z-test is successfully applied to statistical data pertaining to the candidate songs, thereby reestablishing the theoretical assertions by investigating real pieces of literature. Taking the statistical verification as ground, a learning-based classification system is designed to yield the best accuracy of 85%, which further compliments the theory reestablished statistically.

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A Grapheme to Phoneme Based Text to Speech Conversion Technique in Unicode Language

Chandamita,

Sarma

2023

Data and Metadata

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Text-to-speech conversion can be done with two approaches: dictionary-based (database) approach and grapheme-to-phoneme (G2P) mapping. One of the drawbacks of this approach is its performance depends on the size of the dictionary or database. In the case of domain specific conversion, a simple rule -based technique is used to play pre-recorded audio for each equivalent token. It is easy to design but its limitation is mapping with the sound database and availability of the audio file in the database. In general, grapheme to phoneme conversion can be used in any domain. Advantages are the limited size of the database required, ease of mapping and compliance with domain. However, G2P suffers from pronounce ambiguity (formation of audio output). This paper will discuss about the grapheme-to -phoneme mapping and its application in text to speech conversion system. In this work, Assamese (an Indian scheduled Unicode language) is used as the experimental language and its performance is analysis with another Unicode language (Hindi). English (ASCII) language will be used as a benchmark to compare with the target language.

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Schwa Deletion in Hindi Language Speech Synthesis

Cited by 3 publications

References 4 publications

A seminatural approach towards restoration, classification, and pattern extraction from heritage Hindi poetry: A probabilistic case study with Dohā chanda

A seminatural approach towards restoration, classification, and pattern extraction from heritage Hindi poetry: A probabilistic case study with Dohā chanda

KomalaandKaṭhora: A Novel Approach Towards Classification of Hindi Poetry

A Grapheme to Phoneme Based Text to Speech Conversion Technique in Unicode Language

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