1
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights
2
Unsupervised Speech Recognition
3
An ASR System for Malayalam Short Stories using Deep Neural Network in KALDI
4
Advances in subword-based HMM-DNN speech recognition across languages
5
Malayalam-English Code-Switched: Grapheme to Phoneme System
6
Quantitative Analysis of the Morphological Complexity of Malayalam Language
7
Classification assessment methods
8
Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems
9
Malayalam Speech Corpus: Design and Development for Dravidian Language
10
On Construction of the ASR-oriented Indian English Pronunciation Dictionary
11
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages
13
TRMOR: a finite-state-based morphological analyzer for Turkish
14
Finite State Transducer based Morphology analysis for Malayalam Language
15
Grapheme-to-Phoneme Conversion with Convolutional Neural Networks
16
Emilia: a speech corpus for Argentine Spanish text to speech synthesis
17
Continuous Speech Recognition System for Malayalam Language Using Kaldi
18
Epitran: Precision G2P for Many Languages
19
Development of Spoken Story Database in Malayalam Language
20
LatMor: A Latin Finite-State Morphology Encoding Vowel Quantity
21
Orthographic Syllable as basic unit for SMT between Related Languages
22
Speech database and text corpora for Malayalam language automatic speech recognition technology
23
Structural analysis of Hindi phonetics and a method for extraction of phonetically rich sentences from a very large Hindi text corpus
24
A Unified Parser for Developing Indian Language Text to Speech Synthesizers
25
TTS for Low Resource Languages: A Bangla Synthesizer
26
Phonetisaurus: Exploring grapheme-to-phoneme conversion with joint n-gram models in the WFST framework
27
Sequence-to-sequence neural net models for grapheme-to-phoneme conversion
28
The Blackwell encyclopedia of writing systems By Florian Coulmas (review)
29
Speaker adaptation of neural network acoustic models using i-vectors
30
FST-Based Pronunciation Lexicon Compression for Speech Engines
31
Joint-sequence models for grapheme-to-phoneme conversion
32
The architecture and the implementation of a finite state pronunciation lexicon for Turkish
33
A Programming Language for Finite State Transducers
34
SMOR: A German Computational Morphology Covering Derivation, Composition and Inflection
35
SRILM - an extensible language modeling toolkit
36
Issues in building general letter to sound rules
37
A dictionary of linguistics and phonetics
38
Grapheme-to-Phoneme Conversion using Multiple Unbounded Overlapping Chunks
39
Regular Models of Phonological Rule Systems
40
An introduction to linguistics
41
Zero-shot Learning for Grapheme to Phoneme Conversion with Language Ensemble
42
Grapheme to Phoneme Conversion for Malayalam Speech Using Encoder-Decoder Architecture
43
Releasing Malayalam Speech Corpus
45
Swathanthra Malayalam Computing
46
Applying Linguistic G2P Knowledge on a Statistical Grapheme-to-phoneme Conversion in Khmer
47
Aksharamukha Script Converter Web Application
48
Arabic Speech Recognition Pronunciation Dictionary LDC2017L01.WebDownload.Philadelphia:LinguisticDataConsortium, 2017
49
The Festvox Indic Frontend for Grapheme-to-Phoneme Conversion
50
Resources for Indian languages
51
A time delay neural network architecture for efficient modeling of long temporal contexts
52
GlobalPhone: Pronunciation dictionaries in 20 1182 languages
53
Institute of Technology, Bombay
54
Speech and Language Processing , 2nd ed. London, U.K.
55
‘‘Improving the accuracy of pronunciation lexicon using Naive Bayes classifier with character n-1256 gram as feature: For language classified pronunciation lexicon gener-1257 ation
56
‘‘Conditional random fields in speech, audio, and language processing,’’
57
The IIIT-H Indic Speech Databases
59
‘‘Grapheme-to-1145 phoneme conversion for Amharic text-to-speech system
60
‘‘The Kaldi speech recogni-1295 tion toolkit
61
The CMU Pronouncing Dictionary
62
‘‘Statistical analysis of Tel-1164 ugu text corpora,’’
63
Part of the SFST Software Package
65
‘‘LC-STAR: XML-1186 coded phonetic lexica and bilingual corpora for speech-to-speech transla-1187 tion
66
A Matter of Typology: Alphasyllabaries and Abugidas
67
‘‘Finite-state transducers in language and speech pro-1288 cessing,’’
68
Malayalam (Descriptive Grammars) . New York, NY, USA
69
the B.Tech. degree in elec-1355 tronics and communication from the Government Engineering College, Thrissur, India, in 1992,
70
Two-level rule compiler
71
Syllable Structure in Malayalam
72
A description of the usage of Mlphon on various NLP applications : • Syllable level language modeling for open vocab-282 ulary ASR. • Web based tool for assisted pronunciation learning
73
Espeak implements most of the contextual rules dis-856 cussed in section VI, except reph sign, dental nasal and labial plosive disambiguation
74
Comparison of Mlphon with other openly available tools for lexicon creation and their application on ASR task
75
When is the second character in a consonant cluster, beginning
76
Malayalam Text Cor-1310 pora
77
Evaluation of Mlphon in comparison to a gold standard
78
The publication of a large vocabulary pronunciation
79
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool
80
1326 1327 1328 Lin-1329 1330 1331 cur-1361 rently serves as a Professor with the Department 1362 of Electronics and Communication Engineering, 1363
