Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets | Paper Citation Record

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This paper cites Introduction to convolutional neural networks.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Introduction to convolutional neural networks

Reference 1

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Observation 7db8b348-e764-43f0-873a-02ed0eec7fc5 · outbound

This paper cites Machine health monitoring with lstm networks.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Machine health monitoring with lstm networks

Reference 2

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This paper cites An integrated cnn-lstm model for bangla lexical sign language recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets An integrated cnn-lstm model for bangla lexical sign language recognition

Reference 3

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This paper cites Universal attribute charac- terization of spoken languages for automatic spoken language recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Universal attribute charac- terization of spoken languages for automatic spoken language recognition

Reference 4

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This paper cites A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition

Reference 5

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This paper cites Accelerated profile hmm searches.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Accelerated profile hmm searches

Reference 6

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This paper cites Spoken lan- guage recognition using cnn.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Spoken lan- guage recognition using cnn

Reference 7

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This paper cites Graph lstm with context-gated mechanism for spoken language understanding.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Graph lstm with context-gated mechanism for spoken language understanding

Reference 8

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This paper cites Self-supervised speaker embeddings.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Self-supervised speaker embeddings

Reference 9

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This paper cites A stethoscope for drones: Transformers-based methods for uavs acoustic anomaly detection.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets A stethoscope for drones: Transformers-based methods for uavs acoustic anomaly detection

Reference 10

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This paper cites X-vectors: Robust dnn embeddings for speaker recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets X-vectors: Robust dnn embeddings for speaker recognition

Reference 11

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This paper cites an unresolved cited work.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Unresolved cited work

Reference 12

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This paper cites End-to-End Neural Transformer Based Spoken Language Understanding.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets End-to-End Neural Transformer Based Spoken Language Understanding

Reference 13

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This paper cites Challenges and issues in adopting speech recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Challenges and issues in adopting speech recognition

Reference 14

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This paper cites Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages

Reference 15

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This paper cites Harnessing the power of wav2vec2 and cnns for robust speaker identification on the voxceleb and librispeech datasets.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Harnessing the power of wav2vec2 and cnns for robust speaker identification on the voxceleb and librispeech datasets

Reference 16

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This paper cites Extending limited datasets with gan-like self-supervision for sms spam detection.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Extending limited datasets with gan-like self-supervision for sms spam detection

Reference 17

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This paper cites Full-covariance ubm and heavy-tailed plda in i-vector speaker verification.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Full-covariance ubm and heavy-tailed plda in i-vector speaker verification

Reference 18

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Observation 57fd41ec-3bdd-4cbe-8532-6bcf0bf09b01 · outbound

This paper cites Discriminative neural embedding learning for short-duration text-independent speaker verification.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Discriminative neural embedding learning for short-duration text-independent speaker verification

Reference 19

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This paper cites Multiclass discriminative training of i-vector language recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Multiclass discriminative training of i-vector language recognition

Reference 20

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This paper cites Spo- ken language recognition using x-vectors.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Spo- ken language recognition using x-vectors

Reference 21

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Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Unresolved cited work

Reference 22

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Observation 1abea61b-6378-4f08-8e45-c657aa6105e3 · outbound

This paper cites Improved conditional generative adversarial net classification for spoken language recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Improved conditional generative adversarial net classification for spoken language recognition

Reference 23

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This paper cites A dcrnn-based ensemble classifier for speech emotion recognition in odia language.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets A dcrnn-based ensemble classifier for speech emotion recognition in odia language

Reference 24

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This paper cites V oxlingua107: a dataset for spoken language recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets V oxlingua107: a dataset for spoken language recognition

Reference 25

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This paper cites Stacked long-term tdnn for spoken language recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Stacked long-term tdnn for spoken language recognition

Reference 26

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This paper cites V oxlingua107: A dataset for spoken language recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets V oxlingua107: A dataset for spoken language recognition

Reference 27

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This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Common Voice: A Massively-Multilingual Speech Corpus

Reference 28

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This paper cites Self report in clinical and epidemiological studies with non-english speakers: the challenge of language and culture.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Self report in clinical and epidemiological studies with non-english speakers: the challenge of language and culture

Reference 29

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This paper cites Indo-European language and culture: An introduction.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Indo-European language and culture: An introduction

Reference 30

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This paper cites Semitic languages.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Semitic languages

Reference 31

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This paper cites The topography of certain phonetic and morphological characteristics of south east asian languages.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets The topography of certain phonetic and morphological characteristics of south east asian languages

Reference 32

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This paper cites Principles of spoken language recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Principles of spoken language recognition

Reference 33

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This paper cites Stacked long-term tdnn for spoken language recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Stacked long-term tdnn for spoken language recognition

Reference 34

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This paper cites Comparing apples with apples: The importance of clean data.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Comparing apples with apples: The importance of clean data

Reference 35

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This paper cites The importance of balanced data sets: Analyzing a vehicle trajectory prediction model based on neural networks and distributed representations.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets The importance of balanced data sets: Analyzing a vehicle trajectory prediction model based on neural networks and distributed representations

Reference 36

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This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 37

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This paper cites Audio augmentation for speech recogni- tion.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Audio augmentation for speech recogni- tion

Reference 38

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This paper cites Out domain data augmentation on punjabi children speech recognition using tacotron.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Out domain data augmentation on punjabi children speech recognition using tacotron

Reference 39

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This paper cites Tunability: Importance of Hyperparameters of Machine Learning Algorithms.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Tunability: Importance of Hyperparameters of Machine Learning Algorithms

Reference 40

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This paper cites Character-level language modeling with deeper self-attention.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Character-level language modeling with deeper self-attention

Reference 41

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This paper cites The importance of bottle- necks in protein networks: correlation with gene essentiality and expression dynamics.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets The importance of bottle- necks in protein networks: correlation with gene essentiality and expression dynamics

Reference 42

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This paper cites Automatic lyrics transcription using dilated convolutional neural networks with self-attention.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Automatic lyrics transcription using dilated convolutional neural networks with self-attention

Reference 43

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Observation 8b6ec472-8fbf-4a96-a814-0aaf3bdd0c6d · outbound

This paper cites Densely connected time delay neural network for speaker verification.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Densely connected time delay neural network for speaker verification

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.325965Z

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This paper cites Wire detection using synthetic data and dilated convolutional networks for unmanned aerial vehicles.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Wire detection using synthetic data and dilated convolutional networks for unmanned aerial vehicles

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.317413Z

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This paper cites Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on timit.PloS one, 13(10):e0205355, 2018.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on timit.PloS one, 13(10):e0205355, 2018

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.309365Z

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Observation 453f5769-bd90-4f99-9b51-53941e13a2e9 · outbound

This paper cites Improving ctc- based acoustic model with very deep residual time-delay neural networks.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Improving ctc- based acoustic model with very deep residual time-delay neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.301083Z

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This paper cites Deep learning and the information bottleneck principle.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Deep learning and the information bottleneck principle

Reference 48

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Observation 1de7663c-1f95-4090-94bc-3f3c85358f22 · outbound

This paper cites Speech and multilingual nat- ural language framework for speaker change detection and diarization.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Speech and multilingual nat- ural language framework for speaker change detection and diarization

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.283901Z

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Observation eabbb707-3701-4b6e-bb46-ed704488511d · outbound

This paper cites Hybrid speech and text analysis methods for speaker change detection.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Hybrid speech and text analysis methods for speaker change detection

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.274125Z

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Observation faaaa77d-764c-4d25-9695-3d8bbd6875b4 · outbound

This paper cites A thousand words are worth more than one recording: Word-embedding based speaker change detection.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets A thousand words are worth more than one recording: Word-embedding based speaker change detection

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.264114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e0cd7e9c-0acb-4cd5-8726-e2f72205f054 · outbound

This paper cites A Thousand Words are Worth More Than One Recording: NLP Based Speaker Change Point Detection.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets A Thousand Words are Worth More Than One Recording: NLP Based Speaker Change Point Detection

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:43:47.149639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 99928a2a-17d3-4c59-8611-30fa1ca85764 · outbound

This paper cites Crossing language identification: Multilingual asr framework based on semantic dataset creation & wav2vec 2.0.Machine Learning with Applications, 13:100489, 2023.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets Crossing language identification: Multilingual asr framework based on semantic dataset creation & wav2vec 2.0.Machine Learning with Applications, 13:100489, 2023

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.253546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0664b290-3ecb-4ce2-8f1a-fbcac4f1b9ef · outbound

This paper cites The use of occurrences of ideas for con- structing and characterizing the design space.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets The use of occurrences of ideas for con- structing and characterizing the design space

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.243196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c97ef577-df6d-4d88-803d-a07d6a935c03 · outbound

This paper cites A data-driven nlp approach to analyzing framing and reframing in design protocols.

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets A data-driven nlp approach to analyzing framing and reframing in design protocols

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:43:47.233805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers