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 12511300 of 6433 papers

TitleStatusHype
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition0
Adapting the adapters for code-switching in multilingual ASRCode0
Discriminative Speech Recognition Rescoring with Pre-trained Language Models0
Acoustic Model Fusion for End-to-end Speech Recognition0
No Pitch Left Behind: Addressing Gender Unbalance in Automatic Speech Recognition through Pitch Manipulation0
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech RecognitionCode2
Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language UnderstandingCode0
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis0
Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond0
ed-cec: improving rare word recognition using asr postprocessing based on error detection and context-aware error correctionCode0
Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition0
End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition0
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPTCode2
A privacy-preserving method using secret key for convolutional neural network-based speech classification0
Dementia Assessment Using Mandarin Speech with an Attention-based Speech Recognition EncoderCode0
HuBERTopic: Enhancing Semantic Representation of HuBERT through Self-supervision Utilizing Topic Model0
Challenges and Insights: Exploring 3D Spatial Features and Complex Networks on the MISP Dataset0
Neural Language Model Pruning for Automatic Speech Recognition0
The North System for Formosa Speech Recognition Challenge 20230
DecoderLens: Layerwise Interpretation of Encoder-Decoder TransformersCode0
An Integrated Algorithm for Robust and Imperceptible Audio Adversarial Examples0
LibriSpeech-PC: Benchmark for Evaluation of Punctuation and Capitalization Capabilities of end-to-end ASR ModelsCode2
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions0
ResidualTransformer: Residual Low-Rank Learning with Weight-Sharing for Transformer Layers0
Unsupervised Speech Recognition with N-Skipgram and Positional Unigram MatchingCode1
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition0
Evaluating Speech Synthesis by Training Recognizers on Synthetic SpeechCode1
AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR0
SLM: Bridge the thin gap between speech and text foundation models0
Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition0
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning0
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm0
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping0
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech SeparationCode1
AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition0
SSHR: Leveraging Self-supervised Hierarchical Representations for Multilingual Automatic Speech Recognition0
Enhancing Code-switching Speech Recognition with Interactive Language Biases0
Wiki-En-ASR-Adapt: Large-scale synthetic dataset for English ASR Customization0
Hierarchical Cross-Modality Knowledge Transfer with Sinkhorn Attention for CTC-based ASR0
PP-MeT: a Real-world Personalized Prompt based Meeting Transcription System0
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language ModelsCode1
Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study0
Speech collage: code-switched audio generation by collaging monolingual corporaCode1
Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study0
Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting0
Learning from Flawed Data: Weakly Supervised Automatic Speech Recognition0
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project0
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition0
Updated Corpora and Benchmarks for Long-Form Speech RecognitionCode1
Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference0
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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