SOTAVerified

Speech Recognition

Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise.

( Image credit: SpecAugment )

Papers

Showing 701750 of 6433 papers

TitleStatusHype
A belief tracking challenge task for spoken dialog systems0
An analysis of degenerating speech due to progressive dysarthria on ASR performance0
An analysis of deep neural networks for predicting trends in time series data0
Adaptive Multi-Corpora Language Model Training for Speech Recognition0
Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions0
Analyzing the Robustness of Unsupervised Speech Recognition0
Adaptive Frequency Cepstral Coefficients for Word Mispronunciation Detection0
A Comparison of Hybrid and End-to-End Models for Syllable Recognition0
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer0
Analyzing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?0
Adaptive Feature Fusion: Enhancing Generalization in Deep Learning Models0
Analyzing the Importance of Blank for CTC-Based Knowledge Distillation0
Adaptive Dropout for Pruning Conformers0
A comparison of end-to-end models for long-form speech recognition0
Audio De-identification - a New Entity Recognition Task0
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance0
Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition0
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation0
Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition0
11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks0
A comparison of Deep Learning performances with other machine learning algorithms on credit scoring unbalanced data0
Audio-attention discriminative language model for ASR rescoring0
Audio-conditioned phonemic and prosodic annotation for building text-to-speech models from unlabeled speech data0
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition0
A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition0
Persian Signature Verification using Fully Convolutional Networks0
Analyzing deep CNN-based utterance embeddings for acoustic model adaptation0
Analyzing ASR pretraining for low-resource speech-to-text translation0
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition0
Audio Attacks and Defenses against AED Systems -- A Practical Study0
Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model0
Analyzing Accuracy Loss in Randomized Smoothing Defenses0
Analysis of Visual Features for Continuous Lipreading in Spanish0
Adaptive Audio-Visual Speech Recognition via Matryoshka-Based Multimodal LLMs0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition0
Analysis of Phonetic Transcription for Danish Automatic Speech Recognition0
Adaptive Activation Network For Low Resource Multilingual Speech Recognition0
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition0
Analysis of Multilingual Sequence-to-Sequence speech recognition systems0
Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database0
Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom0
An Analysis of Semantically-Aligned Speech-Text Embeddings0
Analysis of GlobalPhone and Ethiopian Languages Speech Corpora for Multilingual ASR0
Adapting Whisper for Code-Switching through Encoding Refining and Language-Aware Decoding0
A Bayesian Approach to Recurrence in Neural Networks0
SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic Data0
Audio De-identification: A New Entity Recognition Task0
AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack on Speech Recognition0
Audio-visual multi-channel speech separation, dereverberation and recognition0
A Bayesian Approach to Estimation of Speaker Normalization Parameters0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AmNetWord Error Rate (WER)8.6Unverified
2HMM-(SAT)GMMWord Error Rate (WER)8Unverified
3Local Prior Matching (Large Model)Word Error Rate (WER)7.19Unverified
4SnipsWord Error Rate (WER)6.4Unverified
5Li-GRUWord Error Rate (WER)6.2Unverified
6HMM-DNN + pNorm*Word Error Rate (WER)5.5Unverified
7CTC + policy learningWord Error Rate (WER)5.42Unverified
8Deep Speech 2Word Error Rate (WER)5.33Unverified
9HMM-TDNN + iVectorsWord Error Rate (WER)4.8Unverified
10Gated ConvNetsWord Error Rate (WER)4.8Unverified
#ModelMetricClaimedVerifiedStatus
1Local Prior Matching (Large Model)Word Error Rate (WER)20.84Unverified
2SnipsWord Error Rate (WER)16.5Unverified
3Local Prior Matching (Large Model, ConvLM LM)Word Error Rate (WER)15.28Unverified
4Deep Speech 2Word Error Rate (WER)13.25Unverified
5TDNN + pNorm + speed up/down speechWord Error Rate (WER)12.5Unverified
6CTC-CRF 4gram-LMWord Error Rate (WER)10.65Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)10.47Unverified
8MT4SSLWord Error Rate (WER)9.6Unverified
9Jasper DR 10x5Word Error Rate (WER)8.79Unverified
10EspressoWord Error Rate (WER)8.7Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error20Unverified
2DNN-HMMPercentage error18.5Unverified
3CD-DNNPercentage error16.1Unverified
4DNNPercentage error16Unverified
5DNN + DropoutPercentage error15Unverified
6DNN BMMIPercentage error12.9Unverified
7DNN MPEPercentage error12.9Unverified
8DNN MMIPercentage error12.9Unverified
9HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
10HMM-DNN +sMBRPercentage error12.6Unverified
#ModelMetricClaimedVerifiedStatus
1LSNNPercentage error33.2Unverified
2LAS multitask with indicators samplingPercentage error20.4Unverified
3Soft Monotonic Attention (ours, offline)Percentage error20.1Unverified
4QCNN-10L-256FMPercentage error19.64Unverified
5Bi-LSTM + skip connections w/ CTCPercentage error17.7Unverified
6Bi-RNN + AttentionPercentage error17.6Unverified
7RNN-CRF on 24(x3) MFSCPercentage error17.3Unverified
8CNN in time and frequency + dropout, 17.6% w/o dropoutPercentage error16.7Unverified
9Light Gated Recurrent UnitsPercentage error16.7Unverified
10GRUPercentage error16.6Unverified
#ModelMetricClaimedVerifiedStatus
1AttWord Error Rate (WER)18.7Unverified
2CTC/AttWord Error Rate (WER)6.7Unverified
3BRA-EWord Error Rate (WER)6.63Unverified
4CTC-CRF 4gram-LMWord Error Rate (WER)6.34Unverified
5BATWord Error Rate (WER)4.97Unverified
6ParaformerWord Error Rate (WER)4.95Unverified
7U2Word Error Rate (WER)4.72Unverified
8UMAWord Error Rate (WER)4.7Unverified
9Lightweight TransducerWord Error Rate (WER)4.31Unverified
10CIF-HKD With LMWord Error Rate (WER)4.1Unverified
#ModelMetricClaimedVerifiedStatus
1Jasper 10x3Word Error Rate (WER)6.9Unverified
2CNN over RAW speech (wav)Word Error Rate (WER)5.6Unverified
3CTC-CRF 4gram-LMWord Error Rate (WER)3.79Unverified
4Deep Speech 2Word Error Rate (WER)3.6Unverified
5test-set on open vocabulary (i.e. harder), model = HMM-DNN + pNorm*Word Error Rate (WER)3.6Unverified
6Convolutional Speech RecognitionWord Error Rate (WER)3.5Unverified
7TC-DNN-BLSTM-DNNWord Error Rate (WER)3.5Unverified
8EspressoWord Error Rate (WER)3.4Unverified
9CTC-CRF VGG-BLSTMWord Error Rate (WER)3.2Unverified
10Transformer with Relaxed AttentionWord Error Rate (WER)3.19Unverified