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Found 6 papers, 0 papers with code
Fast and small footprint Hybrid HMM-HiFiGAN based system for speech synthesis in Indian languages
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.
HMM-based data augmentation for E2E systems for building conversational speech synthesis systems
This paper proposes an approach to build a high-quality text-to-speech (TTS) system for technical domains using data augmentation.
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages
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 into the target language, chunking of text using target language rhythm, text-to-speech synthesis followed by isochronous lipsyncing to the original video.
The Importance of Accurate Alignments in End-to-End Speech Synthesis
With the arrival of end-to-end (E2E) systems, it was observed that very good quality speech could be synthesised with large amounts of data.
Dual Script E2E framework for Multilingual and Code-Switching ASR
In the first system, the E2E model is trained on the CLS representation, and we use a novel data-driven back-end to recover the native language script.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
Question Answering (QA), as a research field, has primarily focused on either knowledge bases (KBs) or free text as a source of knowledge.
