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 20512100 of 6433 papers

TitleStatusHype
RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition0
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU0
DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction0
Robustness of Multi-Source MT to Transcription Errors0
2-bit Conformer quantization for automatic speech recognition0
DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distributionCode0
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification0
Weakly-Supervised Speech Pre-training: A Case Study on Target Speech Recognition0
Mixture-of-Expert Conformer for Streaming Multilingual ASR0
Unified Modeling of Multi-Talker Overlapped Speech Recognition and Diarization with a Sidecar Separator0
Knowledge Distillation for Neural Transducer-based Target-Speaker ASR: Exploiting Parallel Mixture/Single-Talker Speech Data0
ASR and Emotional Speech: A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition0
Improving Scheduled Sampling for Neural Transducer-based ASR0
VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation0
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition0
Svarah: Evaluating English ASR Systems on Indian Accents0
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLMCode0
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition0
Textless Speech-to-Speech Translation With Limited Parallel DataCode0
Iteratively Improving Speech Recognition and Voice Conversion0
RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models0
Incorporating Ultrasound Tongue Images for Audio-Visual Speech Enhancement through Knowledge Distillation0
BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR0
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding0
Improving the Gap in Visual Speech Recognition Between Normal and Silent Speech Based on Metric Learning0
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person0
On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications0
TranUSR: Phoneme-to-word Transcoder Based Unified Speech Representation Learning for Cross-lingual Speech Recognition0
Personalized Predictive ASR for Latency Reduction in Voice Assistants0
Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding0
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge0
Text Generation with Speech Synthesis for ASR Data Augmentation0
Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition0
Modular Domain Adaptation for Conformer-Based Streaming ASR0
GNCformer Enhanced Self-attention for Automatic Speech Recognition0
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test0
VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages0
Multi-Head State Space Model for Speech Recognition0
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting0
On the Efficacy and Noise-Robustness of Jointly Learned Speech Emotion and Automatic Speech Recognition0
Contextualized End-to-End Speech Recognition with Contextual Phrase Prediction Network0
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems0
CASA-ASR: Context-Aware Speaker-Attributed ASR0
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction0
Self-supervised representations in speech-based depression detection0
Language-universal phonetic encoder for low-resource speech recognition0
BAT: Boundary aware transducer for memory-efficient and low-latency ASR0
Unsupervised ASR via Cross-Lingual Pseudo-Labeling0
Blank-regularized CTC for Frame Skipping in Neural Transducer0
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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