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Found 14 papers, 2 papers with code
Generating Coherent Drum Accompaniment With Fills And Improvisations
We use the transformer sequence to sequence model to generate a basic drum pattern conditioned on the melodic accompaniment to find that improvisation is largely absent, attributed possibly to its expectedly relatively low representation in the training data.
Musical Information Extraction from the Singing Voice
Music information retrieval is currently an active research area that addresses the extraction of musically important information from audio signals, and the applications of such information.
Predicting lexical skills from oral reading with acoustic measures
Literacy assessment is an important activity for education administrators across the globe.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Deep Learning For Prominence Detection In Children's Read Speech
The detection of perceived prominence in speech has attracted approaches ranging from the design of linguistic knowledge-based acoustic features to the automatic feature learning from suprasegmental attributes such as pitch and intensity contours.
Automatic Stroke Classification of Tabla Accompaniment in Hindustani Vocal Concert Audio
The tabla is a unique percussion instrument due to the combined harmonic and percussive nature of its timbre, and the contrasting harmonic frequency ranges of its two drums.
CNN Encoding of Acoustic Parameters for Prominence Detection
Expressive reading, considered the defining attribute of oral reading fluency, comprises the prosodic realization of phrasing and prominence.
An Optimized Signal Processing Pipeline for Syllable Detection and Speech Rate Estimation
Syllable detection is an important speech analysis task with applications in speech rate estimation, word segmentation, and automatic prosody detection.
HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer
Generative Models for Audio Synthesis have been gaining momentum in the last few years.
Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio
A Dhrupad vocal concert comprises a composition section that is interspersed with improvised episodes of increased rhythmic activity involving the interaction between the vocals and the percussion.
VaPar Synth -- A Variational Parametric Model for Audio Synthesis
With the advent of data-driven statistical modeling and abundant computing power, researchers are turning increasingly to deep learning for audio synthesis.
Speech-to-Singing Conversion in an Encoder-Decoder Framework
In this paper our goal is to convert a set of spoken lines into sung ones.
Generative Audio Synthesis with a Parametric Model
Use a parametric representation of audio to train a generative model in the interest of obtaining more flexible control over the generated sound.
The IIT-B Query-by-Example System for MediaEval 2015
This paper describes the system developed at I. I. T.
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