Search Results - "Meghanani, Amit"

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  1. 1

    Recognition of Alzheimer’s Dementia From the Transcriptions of Spontaneous Speech Using fastText and CNN Models by Meghanani, Amit, Anoop, C. S., Ramakrishnan, Angarai Ganesan

    Published in Frontiers in computer science (Lausanne) (24-03-2021)
    “…Alzheimer’s dementia (AD) is a type of neurodegenerative disease that is associated with a decline in memory. However, speech and language impairments are also…”
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    Journal Article
  2. 2

    An Exploration of Log-Mel Spectrogram and MFCC Features for Alzheimer's Dementia Recognition from Spontaneous Speech by Meghanani, Amit, C. S., Anoop, Ramakrishnan, A. G.

    “…In this work, we explore the effectiveness of log-Mel spectrogram and MFCC features for Alzheimer's dementia (AD) recognition on ADReSS challenge dataset. We…”
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    Conference Proceeding
  3. 3

    SCORE: Self-Supervised Correspondence Fine-Tuning for Improved Content Representations by Meghanani, Amit, Hain, Thomas

    “…There is a growing interest in cost-effective self-supervised fine-tuning (SSFT) of self-supervised learning (SSL)-based speech models to obtain task-specific…”
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    Conference Proceeding
  4. 4

    LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks by Meghanani, Amit, Hain, Thomas

    Published 13-06-2024
    “…Self-supervised learning (SSL)-based speech models are extensively used for full-stack speech processing. However, it has been observed that improving…”
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    Journal Article
  5. 5

    Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations by Meghanani, Amit, Hain, Thomas

    Published 13-03-2024
    “…Acoustic word embeddings (AWEs) are vector representations of spoken words. An effective method for obtaining AWEs is the Correspondence Auto-Encoder (CAE). In…”
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    Journal Article
  6. 6

    SCORE: Self-supervised Correspondence Fine-tuning for Improved Content Representations by Meghanani, Amit, Hain, Thomas

    Published 10-03-2024
    “…There is a growing interest in cost-effective self-supervised fine-tuning (SSFT) of self-supervised learning (SSL)-based speech models to obtain task-specific…”
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    Journal Article
  7. 7

    Pitch-synchronous DCT features: A pilot study on speaker identification by Meghanani, Amit, Ramakrishnan, A G

    Published 06-12-2018
    “…We propose a new feature, namely, pitchsynchronous discrete cosine transform (PS-DCT), for the task of speaker identification. These features are obtained…”
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    Journal Article