Papers Bandwidth Extension
“Bandwidth Extension” 태그가 달린 논문 55편 · 필터 해제
Fast and Flexible Audio Bandwidth Extension via Vocos
We propose a Vocos-based bandwidth extension model that enhances audio at 8-48 kHz by generating missing high-frequency content. Inputs are resampled to 48 kHz and processed by a neural vocoder backbone, enabling a singl…
Bandwidth ExtensionCodecFlow: Efficient Bandwidth Extension via Conditional Flow Matching in Neural Codec Latent Space
Speech Bandwidth Extension improves clarity and intelligibility by restoring/inferring appropriate high-frequency content for low-bandwidth speech. Existing methods often rely on spectrogram or waveform modeling, which c…
Bandwidth ExtensionmmWave Radar Aware Dual-Conditioned GAN for Speech Reconstruction of Signals With Low SNR
Millimeter-wave (mmWave) radar captures are band-limited and noisy, making for difficult reconstruction of intelligible full-bandwidth speech. In this work, we propose a two-stage speech reconstruction pipeline for mmWav…
Bandwidth ExtensionReal-Time Streamable Generative Speech Restoration with Flow Matching
Diffusion-based generative models have greatly impacted the speech processing field in recent years, exhibiting high speech naturalness and spawning a new research direction. Their application in real-time communication …
Bandwidth ExtensionSpeech EnhancementCIS-BWE: Chaos-Informed Speech Bandwidth Extension
Recovering high-frequency components lost to bandwidth constraints is crucial for applications ranging from telecommunications to high-fidelity audio on limited resources. We introduce NDSI-BWE, a new adversarial Band Wi…
Bandwidth ExtensionEDNet: A Distortion-Agnostic Speech Enhancement Framework with Gating Mamba Mechanism and Phase Shift-Invariant Training
Speech signals in real-world environments are frequently affected by various distortions such as additive noise, reverberation, and bandwidth limitation, which may appear individually or in combination. Traditional speec…
Bandwidth ExtensionDenoisingMambaSpeech EnhancementNeural Spectral Band Generation for Audio Coding
Audio bandwidth extension is the task of reconstructing missing high frequency components of bandwidth-limited audio signals, where bandwidth limitation is a common issue for audio signals due to several reasons, includi…
Bandwidth ExtensionFrench Listening Tests for the Assessment of Intelligibility, Quality, and Identity of Body-Conducted Speech Enhancement
This study evaluates the Extreme Bandwidth Extension Network (EBEN) model on body-conduction sensors through listening tests. Using the Vibravox dataset, we assess intelligibility with a French Modified Rhyme Test, speec…
Bandwidth ExtensionSpeaker IdentificationSpeaker VerificationSpeech EnhancementLearning to Upsample and Upmix Audio in the Latent Domain
Neural audio autoencoders create compact latent representations that preserve perceptually important information, serving as the foundation for both modern audio compression systems and generation approaches like next-to…
Audio CompressionBandwidth ExtensionComputational EfficiencyUBGAN: Enhancing Coded Speech with Blind and Guided Bandwidth Extension
In practical application of speech codecs, a multitude of factors such as the quality of the radio connection, limiting hardware or required user experience necessitate trade-offs between achievable perceptual quality, e…
Bandwidth ExtensionGenerative Adversarial NetworkA2SB: Audio-to-Audio Schrodinger Bridges
Audio in the real world may be perturbed due to numerous factors, causing the audio quality to be degraded. The following work presents an audio restoration model tailored for high-res music at 44.1kHz. Our model, Audio-…
Bandwidth ExtensionA lightweight and robust method for blind wideband-to-fullband extension of speech
Reducing the bandwidth of speech is common practice in resource constrained environments like low-bandwidth speech transmission or low-complexity vocoding. We propose a lightweight and robust method for extending the ban…
Bandwidth ExtensionGenerative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration
This paper proposes a generative pretraining foundation model for high-quality speech restoration tasks. By directly operating on complex-valued short-time Fourier transform coefficients, our model does not rely on any v…
Bandwidth ExtensionDenoisingSpeech DenoisingSpeech Extraction+1VC-ENHANCE: Speech Restoration with Integrated Noise Suppression and Voice Conversion
Noise suppression (NS) algorithms are effective in improving speech quality in many cases. However, aggressive noise suppression can damage the target speech, reducing both speech intelligibility and quality despite remo…
Bandwidth ExtensionVoice ConversionDSP-informed bandwidth extension using locally-conditioned excitation and linear time-varying filter subnetworks
In this paper, we propose a dual-stage architecture for bandwidth extension (BWE) increasing the effective sampling rate of speech signals from 8 kHz to 48 kHz. Unlike existing end-to-end deep learning models, our propos…
Bandwidth ExtensionInductive BiasVibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors
Vibravox is a dataset compliant with the General Data Protection Regulation (GDPR) containing audio recordings using five different body-conduction audio sensors: two in-ear microphones, two bone conduction vibration pic…
Automatic Phoneme RecognitionAutomatic Speech Recognition (ASR)Bandwidth ExtensionSpeaker Verification+3URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement
The last decade has witnessed significant advancements in deep learning-based speech enhancement (SE). However, most existing SE research has limitations on the coverage of SE sub-tasks, data diversity and amount, and ev…
Bandwidth ExtensionDenoisingDiversitySpeech EnhancementMulti-Stage Speech Bandwidth Extension with Flexible Sampling Rate Control
The majority of existing speech bandwidth extension (BWE) methods operate under the constraint of fixed source and target sampling rates, which limits their flexibility in practical applications. In this paper, we propos…
Bandwidth ExtensionCPUGPUA Diffusion-Based Generative Equalizer for Music Restoration
This paper presents a novel approach to audio restoration, focusing on the enhancement of low-quality music recordings, and in particular historical ones. Building upon a previous algorithm called BABE, or Blind Audio Ba…
Bandwidth ExtensionHallucinationTowards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction
Speech bandwidth extension (BWE) refers to widening the frequency bandwidth range of speech signals, enhancing the speech quality towards brighter and fuller. This paper proposes a generative adversarial network (GAN) ba…
Bandwidth ExtensionCPUGenerative Adversarial NetworkGPU