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 28512900 of 6433 papers

TitleStatusHype
Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding0
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems0
Content-Aware Speaker Embeddings for Speaker Diarisation0
Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap0
Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words0
Bridging Speech and Textual Pre-trained Models with Unsupervised ASR0
ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge0
Ideal-LLM: Integrating Dual Encoders and Language-Adapted LLM for Multilingual Speech-to-Text0
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model0
Identifying dialects with textual and acoustic cues0
Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing0
Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts0
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model0
Identifying Teacher Questions Using Automatic Speech Recognition in Classrooms0
IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary0
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale0
Impact du degr\'e de supervision sur l'adaptation \`a un domaine d'un mod\`ele de langage \`a partir du Web (Impact of the level of supervision on Web-based language model domain adaptation) [in French]0
Impact of ASR N-Best Information on Bayesian Dialogue Act Recognition0
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others0
An Oral History Annotation Tool for INTER-VIEWs0
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting0
Impact of Dataset on Acoustic Models for Automatic Speech Recognition0
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport0
Impact of Frame Rates on Speech Tokenizer: A Case Study on Mandarin and English0
Impact of Microphone position Measurement Error on Multi Channel Distant Speech Recognition & Intelligibility0
Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition0
Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI0
Implementation Of Back-Propagation Neural Network For Isolated Bangla Speech Recognition0
Implementation Of Tiny Machine Learning Models On Arduino 33 BLE For Gesture And Speech Recognition0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model0
Implicitly Intersecting Weighted Automata using Dual Decomposition0
Importance of Different Temporal Modulations of Speech: A Tale of Two Perspectives0
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR0
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm0
A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech0
Advances and Challenges in Deep Lip Reading0
Improved Arabic Dialect Classification with Social Media Data0
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks0
Enhancing Indonesian Automatic Speech Recognition: Evaluating Multilingual Models with Diverse Speech Variabilities0
Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search0
Improved Consistency Training for Semi-Supervised Sequence-to-Sequence ASR via Speech Chain Reconstruction and Self-Transcribing0
Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring0
Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs0
Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder0
Improved far-field speech recognition using Joint Variational Autoencoder0
改良式統計圖等化法強鍵性語音辨識之研究 (Improved Histogram Equalization Methods for Robust Speech Recognition) [In Chinese]0
Improved Language Identification Through Cross-Lingual Self-Supervised Learning0
Improved Long-Form Speech Recognition by Jointly Modeling the Primary and Non-primary Speakers0
Enhancing Documentation of Hupa with Automatic Speech Recognition0
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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