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Fundamentals, present and future perspectives of speech enhancement
Speech enhancement has substantial interest in the utilization of speaker identification,
video-conference, speech transmission through communication channels, speech-based …
video-conference, speech transmission through communication channels, speech-based …
Power-normalized cepstral coefficients (PNCC) for robust speech recognition
This paper presents a new feature extraction algorithm called power normalized Cepstral
coefficients (PNCC) that is motivated by auditory processing. Major new features of PNCC …
coefficients (PNCC) that is motivated by auditory processing. Major new features of PNCC …
Speaker recognition from whispered speech: A tutorial survey and an application of time-varying linear prediction
From the available biometric technologies, automatic speaker recognition is one of the most
convenient and accessible ones due to abundance of mobile devices equipped with a …
convenient and accessible ones due to abundance of mobile devices equipped with a …
[Free GPT-4]
[DeepSeek]
[DeepSeek]
The work presented in this paper aims at enhancing the performance of end-to-end (E2E)
speech recognition task for children's speech under low resource conditions. For majority of …
speech recognition task for children's speech under low resource conditions. For majority of …
Query-by-example spoken term detection using frequency domain linear prediction and non-segmental dynamic time war**
G Mantena, S Achanta… - IEEE/ACM Transactions on …, 2014 - ieeexplore.ieee.org
The task of query-by-example spoken term detection (QbE-STD) is to find a spoken query
within spoken audio data. Current state-of-the-art techniques assume zero prior knowledge …
within spoken audio data. Current state-of-the-art techniques assume zero prior knowledge …
[PDF][PDF] Robust language identification using convolutional neural network features.
The language identification (LID) task in the Robust Automatic Transcription of Speech
(RATS) program is challenging due to the noisy nature of the audio data collected over …
(RATS) program is challenging due to the noisy nature of the audio data collected over …
[HTML][HTML] Environmentally robust ASR front-end for deep neural network acoustic models
This paper examines the individual and combined impacts of various front-end approaches
on the performance of deep neural network (DNN) based speech recognition systems in …
on the performance of deep neural network (DNN) based speech recognition systems in …