2 citations · 4 across the 5 of their papers we have counts for
6 papers
Melody Extraction from Polyphonic Music by Deep Learning Approaches: A Review
Gurunath Reddy M, K. Sreenivasa Rao, Partha Pratim Das
Melody extraction is a vital music information retrieval task among music researchers for its potential applications in education pedagogy and the music industry. Melody extraction…
Multilingual Audio-Visual Smartphone Dataset And Evaluation
Hareesh Mandalapu, Aravinda Reddy P N, Raghavendra Ramachandra +4
Smartphones have been employed with biometric-based verification systems to provide security in highly sensitive applications. Audio-visual biometrics are getting popular due to th…
DNN-based cross-lingual voice conversion using Bottleneck Features
M Kiran Reddy, K Sreenivasa Rao
Cross-lingual voice conversion (CLVC) is a quite challenging task since the source and target speakers speak different languages. This paper proposes a CLVC framework based on bott…
VOP Detection for Read and Conversation Speech using CWT Coefficients and Phone Boundaries
Kumud Tripathi, K. Sreenivasa Rao
In this paper, we propose a novel approach for accurate detection of the vowel onset points (VOPs). VOP is the instant at which the vowel begins in the speech signal. Precise ident…
Beam Search Decoding using Manner of Articulation Detection Knowledge Derived from Connectionist Temporal Classification
Pradeep Rangan, Sreenivasa Rao K
Manner of articulation detection using deep neural networks require a priori knowledge of the attribute discriminative features or the decent phoneme alignments. However generating…
Manner of Articulation Detection using Connectionist Temporal Classification to Improve Automatic Speech Recognition Performance
Pradeep R, Sreenivasa Rao K
Conventionally, the manner of articulations in speech signal are derived using discriminative signal processing techniques or deep learning approaches. However, training such compl…