7 accepted papers
The rise of conversational AI and multimodal streaming applications has led to a significant demand for low-latency Text-to-Speech (TTS) systems. This work presents a multilingual low-latency model that leverages the functional decomposition principles of Kolmogorov-Arnold Networks (KANs) in modelin…
This work presents a lightweight end-to-end text-to-speech (TTS) synthesis for the multi-lingual multi-speaker (ML-MS) scenario. The proposed system uses nonautoregressive modular architecture with interconnected subnets for text-encoder, duration estimator, f<inf xmlns:mml="http://www.w3.org/1998/M…
The performance of the automatic speaker recognition system is becoming more and more accurate, with the advancement in deep learning methods. However, current speaker recognition system performances are subjective to the training conditions, thereby decreasing the performance drastically even on sl…
In this paper, the importance of analytic phase of the speech signal in automatic speaker verification systems is demonstrated in the context of replay spoof attacks. In order to accurately detect the replay spoof attacks, effective feature representations of speech signals are required to capture t…
Speaking rate is an important attribute of the speech signal which plays a crucial role in the performance of automatic speech processing systems. In this paper, we propose to estimate the speaking rate by segmenting the speech into syllable-like units using end point detection algorithms which do n…
Identifying and grouping the frequently occurring word-like patterns from raw acoustic waveforms is an important task in the zero resource speech processing. Embedded segmental K-means (ES-KMeans) discovers both the word boundaries and the word types from raw data. Starting from an initial set of su…
Representation and modelling of movements play a significant role in recognising actions in unconstrained videos. However, explicit segmentation and labelling of movements are non-trivial because of the variability associated with actors, camera viewpoints, duration etc. Therefore, we propose to tra…