编码器(encoder)将每个固定长度的样本(仅几毫秒的音频波形)转换为预定固定维度的向量。 2. 然后,量化器(quantizer)通过称为残差矢量量化的过程压缩该编码矢量,残差矢量量化是源自数字信号处理的概念。 3. 最后,解码器(decoder)接收这个压缩信号并将其重建为音频流。 然后,将该重构的音频与原始音频进行比较。 损耗测...
This chapter discusses the basic principles of minimum distortion quantization; both scalar and vector quantizers are considered. It also discusses the residual quantizer (RQ) structure and an alternative RQ representation used in subsequent analysis called the “equivalent single-stage quantizer” and th...
semantic 的 residualquantizer 模块在FunCodec中有什么作用? 参考回答: semantic augmented 的 residual vector quantizer 模块用于探究声学-语义解耦对语音量化带来的影响,并在极低比特率下展现了较高的语音质量。 关于本问题的更多问答可点击原文查看: /ask/656853 问题四:3D-Speaker开源项目的名称含义是什么? 3D-Spe...
semantic 的 residualquantizer 模块在FunCodec中有什么作用? 参考回答: semantic augmented 的 residual vector quantizer 模块用于探究声学-语义解耦对语音量化带来的影响,并在极低比特率下展现了较高的语音质量。 关于本问题的更多问答可点击原文查看: https://developer.aliyun.com/ask/656853 问题四:3D-Speaker开源...
This paper introduces a new class of vector quantizers (VQs), called finite-state residual vector quantizers (FS-RVQs), and discusses their application to image compression. FS-RVQ may be viewed as a combination of residual vector quantization (RVQ) and finite-state VQ (FSVQ). It ...
论文补充-ResidualVector Quantizer(RVQ) 紫陌垂杨洛西· 4-20 2.1万12 42:32 CFD理论23 认识残差曲线 及其物理意义part1 Residuals in CFD (Part 1) - UnderstandingResidual 不期而遇的时生· 2021-11-30 475710 39:17 Reformer: The Efficient Transformer局部敏感哈希LSH Attention残差网络ResidualNetwork ...
Recently, a predictive residual vector quantizer (PRVQ) was proposed by Rizvi and Nasrabadi (see IEEE Int. Conf. Image Processing, Austin, vol.1, p.608-612, Nov. 13-16, 1994). This scheme has a very low search complexity, and its performance is very close to that of the predictive ...
We present a novel image compression technique using a classified vector Quantizer and singular value decomposition for the efficient representation of sti... Al-Fayadh,Ali - 《Journal of Electronic Imaging》 被引量: 9发表: 2009年 Image Compression Using Hybrid Vector Quantization In this paper, im...
ResidualVQ( dim=Z_CHANNELS, # 512 num_quantizers=NUM_QUANTIZERS, # 2 codebook_size=CODEBOOK_SIZE, # 16 * 1024 stochastic_sample_codes=True, shared_codebook=True, commitment_weight=1.0, kmeans_init=True, threshold_ema_dead_code=2, quantize_dropout=True, quantize_dropout_cutoff_index=1, qu...
The prediction error decoder 304, 404 may be considered to comprise a dequantizer 346, 446 (Q−1), which dequantizes the quantized coefficient values, e.g. DCT coefficients, to reconstruct the transform signal and an inverse transformation unit 348, 448 (T−1), which performs the inverse...