IP Library › Granted Patent US 12,431,148
Granted Patent B2
US 12,431,148 · App. 17/573,360 · Granted Sep 30, 2025

Encoding device, decoding device, encoding method, decoding method, and non-transitory computer-readable recording medium

Inventors: Srikanth Nagisetty (Singapore, SG); Zong Xian Liu (Singapore, SG); Hiroyuki Ehara (Kanagawa, JP)
Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
G10L19/0208G10L19/028G10L19/035G10L21/038
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,431,148
App. No.
17/573,360
Granted
Sep 30, 2025
Kind
B2
Abstract

An encoding device according to the disclosure includes a first encoder, which in operation, encodes a low-band signal from a voice or audio input signal to generate a first encoded signal; a decoder, which in operation, decodes the first encoded signal to generate a low-band decoded signal; a second encoder, which in operation, encodes, on the basis of the low-band decoded signal, a high-band signal comprising a band from the voice or audio input signal, the band being higher than that of the low-band signal to generate a high-band encoded signal; an energy calculator, which in operation, calculates an energy of the voice or audio input signal for each subband of a plurality of subbands of the voice or audio input signal to acquire a calculated energy for each subband of the plurality of subbands of the voice or audio input signal, quantizes the calculated energy for each subband of the plurality of subbands of the voice or audio input signal to acquire a quantized band energy for each subband of the plurality of subbands of the voice or audio input signal and outputs the quantized band energy for each subband of the plurality of subbands of the voice or audio input signal; and a multiplexer, which in operation, multiplexes the quantized band energy for each subband of the plurality of subbands of the voice or audio input signal, the first encoded signal, and the high-band encoded signal to generate and output an encoded signal.

Claims (62)

1. An encoding device comprising:

a first encoder, which in operation, encodes a low-band signal from a voice or audio input signal to generate a first encoded signal;

a decoder, which in operation, decodes the first encoded signal to generate a low-band decoded signal;

a second encoder, which in operation, encodes, on the basis of the low-band decoded signal, a high-band signal comprising a band from the voice or audio input signal, the band being higher than that of the low-band signal to generate a high-band encoded signal;

an energy calculator, which in operation, calculates an energy of the voice or audio input signal for each subband of a plurality of subbands of the voice or audio input signal to acquire a calculated energy for each subband of the plurality of subbands of the voice or audio input signal, quantizes the calculated energy for each subband of the plurality of subbands of the voice or audio input signal to acquire a quantized band energy for each subband of the plurality of subbands of the voice or audio input signal and outputs the quantized band energy for each subband of the plurality of subbands of the voice or audio input signal; and

a multiplexer, which in operation, multiplexes the quantized band energy for each subband of the plurality of subbands of the voice or audio input signal, the first encoded signal, and the high-band encoded signal to generate and output an encoded signal.

2. The encoding device of claim 1 , wherein the second encoder comprises at least one of the following:

a bandwidth extending unit that outputs, as lag information, position information regarding a specific band in which a correlation between the high-band signal and a low-band tonal signal derived from the low-band decoded signal becomes maximum, the lag information being comprised by the high-band encoded signal,

a calculating unit that calculates an energy ratio between a high-band noise component and the high-band non-tonal signal acquired by the second bandwidth extending unit, and outputs the calculated ratio as a scaling factor, and

a second multiplexer that multiplexes the lag information and the scaling factor as the high-band encoded signal and outputs the high-band encoded signal.

3. The encoding device of claim 1 , wherein the second encoder comprises:

a separating unit that separates, from the low-band decoded signal, the low-band non-tonal signal, which is a non-tonal component of the low-band decoded signal, and a low-band tonal signal, which is a tonal component of the low-band decoded signal; and

a noise adding unit that adds a noise signal to the low-band decoded signal before a separation operation of the separating unit, or to the low-band non-tonal signal output from the separating unit.

4. The encoding device of claim 1 , wherein the second encoder comprises:

a bandwidth extending unit being configured to output, as a high-band non-tonal signal, a low-band non-tonal signal corresponding to a lag information, on the basis of the position information regarding the specific band; and

a calculating unit that calculates an energy ratio between a high-band noise component and the high-band non-tonal signal, and outputs the calculated ratio as a scaling factor, the scaling factor being comprised by the in the high-band encoded signal.

5. The encoding device of claim 4 , wherein the second encoder comprises a noise component energy calculating unit for calculating an energy of the high-band noise component using the position information, wherein the noise component energy calculating unit is configured for subtracting an energy of components of spectral bins at high-band tonal-component frequency positions indicated by the position information from an energy of the components in the high-band signal.

6. The encoding device of claim 1 , wherein the second encoder is configured to calculate an energy ratio between a high-band noise component, which is a noise component of the high-band signal from the voice or audio input signal, and a high-band non-tonal component of a high-band decoded signal generated from the low-band decoded signal, wherein the high-band encoded signal comprises information on the calculated energy ratio.

7. The encoding device of claim 6 , wherein the high-band non-tonal component of the high-band decoded signal is a component of the high-band decoded signal having an amplitude less than or equal to a predetermined threshold or a component of the high-band decoded signal that has become zero by not having been quantized by a pulse quantizer.

8. A decoding device that receives a first encoded signal, a high-band encoded signal comprising lag information, and a band energy encoded signal representing a quantized band energy for each subband of a plurality of subbands, the decoding device comprising:

a first decoder, which in operation, decodes the first encoded signal to generate a low-band decoded signal;

a second decoder, which in operation, decodes the high-band encoded signal to generate a wide-band decoded signal by using the low-band decoded signal and the band energy encoded signal representing a quantized band energy for each subband of a plurality of subbands; and

a third decoder, which in operation, decodes the band energy encoded signal to generate a quantized band energy for each subband of the plurality of subbands.

9. The decoding device of claim 8 , wherein the second decoder comprises:

a separating unit that separates, from the low-band decoded signal, a low-band non-tonal signal, which is a non-tonal component of the low-band decoded signal, and a low-band tonal signal, which is a tonal component of the low-band decoded signal; and

a noise adding unit that adds a noise signal to the low-band decoded signal before a separation operation of the separating unit or to the low-band non-tonal signal output from the separating unit.

10. The decoding device of claim 8 , wherein the second decoder comprises:

a scaling unit that adjusts an amplitude of a high-band non-tonal signal by using a scaling factor acquired by decoding the high-band encoded signal to acquire an adjusted amplitude,

wherein a tonal signal energy estimating unit is configured to estimate an energy of a high-band tonal signal from an energy of the high-band non-tonal signal comprising an adjusted amplitude and the quantized band energy for a subband of the plurality of subbands.

11. The decoding device of claim 8 , wherein an addition unit is configured to add a wide-band non-tonal signal and a wide-band tonal signal to generate the wide-band decoded signal, wherein the wide-band non-tonal signal is acquired by coupling the low-band non-tonal signal and a high-band non-tonal signal, and wherein the wide-band tonal signal is acquired by coupling a low-band tonal signal and a high-band tonal signal.

12. The decoding device of claim 8 , wherein the second decoder comprises:

a scaling unit that adjusts an amplitude of a high-band tonal signal on the basis of an energy of the high-band tonal signal, and wherein an addition unit is configured to use the high-band tonal signal comprising an adjusted amplitude to generate a wide-band tonal signal.

13. The decoding device of claim 8 , wherein the second decoder comprises:

a bandwidth extending unit that copies a low-band non-tonal signal derived from the low-band decoded signal to a high band by using the lag information acquired by decoding the high-band encoded signal to acquire a high-band non-tonal signal;

a tonal signal energy estimating unit that estimates an energy of a high-band tonal signal from an energy of the high-band non-tonal signal and the quantized band energy for a subband of the plurality of subbands; and

an addition unit that adds the low-band non-tonal signal, the high-band non-tonal signal, a low-band tonal signal derived from the low-band decoded signal, and a high-band tonal signal derived from the low-band decoded signal and the lag information to generate a wide-band decoded signal.

14. The decoding device of claim 8 , wherein the high-band encoded signal includes information on an energy ratio between a high-band noise component of the high-band signal from a voice or audio signal, and a high-band non-tonal signal, which is a non-tonal component of a high-band decoded signal generated from the low-band decoded signal.

15. The decoding device of claim 14 , wherein the non-tonal component of the high-band decoded signal is a component of the high-band decoded signal having an amplitude less than or equal to a predetermined threshold or a component of the high-band decoded signal that has become zero by not having been quantized by a pulse quantization.

16. The decoding device of claim 14 , wherein the second decoder is configured to adjust an amplitude of a low-band non-tonal signal, which is a non-tonal component of the low-band decoded signal or to adjust an amplitude of the high-band non-tonal signal, by referring to the information on the energy ratio included in the high-band encoded signal.

17. The decoding device of claim 16 , wherein the non-tonal component of the low-band decoded signal is a component of the low-band decoded signal having an amplitude less than or equal to a predetermined threshold or a component of the low-band decoded signal that has become zero by not having been quantized by pulse quantization.

18. An encoding method comprising:

encoding a low-band signal from a voice or audio input signal to generate a first encoded signal;

decoding the first encoded signal to generate a low-band decoded signal;

encoding, on the basis of the low-band decoded signal, a high-band signal comprising a band higher than that of the low-band signal to generate a high-band encoded signal;

calculating an energy of the voice or audio input signal for each subband of a plurality of subbands of the voice or audio input signal to acquire a calculated energy for each subband of the plurality of subbands of the voice or audio input signal, quantizing the calculated energy for each subband of the plurality of subbands of the voice or audio input signal to acquire a quantized band energy for each subband of the plurality of subbands of the voice or audio input signal, and outputting the quantized band energy for each subband of the plurality of subbands of the voice or audio input signal; and

multiplexing the quantized band energy for each subband of the plurality of subbands of the voice or audio input signal, the first encoded signal and the high-band encoded signal to generate and output an encoded signal.

19. A decoding method for a first encoded signal, a high-band encoded signal comprising lag information, and a band energy encoded signal representing a quantized band energy for each subband of a plurality of subbands, the method comprising:

decoding the first encoded signal to generate a low-band decoded signal;

decoding the high-band encoded signal to generate a wide-band decoded signal by using the low-band decoded signal and the band energy encoded signal representing a quantized band energy for each subband of a plurality of subbands; and

decoding the band energy encoded signal to generate a quantized band energy for each subband of the plurality of subbands.

20. A non-transitory digital storage medium having a computer program stored thereon to perform the encoding method comprising:

encoding a low-band signal from a voice or audio input signal to generate a first encoded signal;

decoding the first encoded signal to generate a low-band decoded signal;

encoding, on the basis of the low-band decoded signal, a high-band signal comprising a band higher than that of the low-band signal to generate a high-band encoded signal;

calculating an energy of the voice or audio input signal for each subband of a plurality of subbands of the voice or audio input signal to acquire a calculated energy for each subband of the plurality of subbands of the voice or audio input signal, quantizing the calculated energy for each subband of the plurality of subbands of the voice or audio input signal to acquire a quantized band energy for each subband of the plurality of subbands of the voice or audio input signal, and outputting the quantized band energy for each subband of the plurality of subbands of the voice or audio input signal; and

multiplexing the quantized band energy for each subband of the plurality of subbands of the voice or audio input signal, the first encoded signal and the high-band encoded signal to generate and output an encoded signal,

when said computer program is run by a computer.

21. A non-transitory digital storage medium having a computer program stored thereon to perform the decoding method for a first encoded signal, a high-band encoded signal comprising lag information, and a band energy encoded signal representing a quantized band energy for each subband of a plurality of subbands, the method comprising:

decoding the first encoded signal to generate a low-band decoded signal;

decoding the high-band encoded signal to generate a wide-band decoded signal by using the low-band decoded signal and the band energy encoded signal representing a quantized band energy for each subband of a plurality of subbands; and

decoding the band energy encoded signal to generate a quantized band energy for each subband of the plurality of subbands,

when said computer program is run by a computer.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 30, 2025
From: NAGISETTY, SRIKANTH; LIU, ZONG XIAN; EHARA, HIROYUKI
To: PANASONIC INTELLECTUAL PROPERTY CORPORATION OF AMERICA
Reel/Frame 071570/0987 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 30, 2025
From: PANASONIC INTELLECTUAL PROPERTY CORPORATION OF AMERICA
To: FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Reel/Frame 071571/0020 →
Priority Claims (1)
JP 2014-153832 · Jul 29, 2014 · national
Continuity (5)
Continuation 16295387 · Mar 7, 2019
Continuation 15221425 · Jul 27, 2016
Continuation PCTJP2015001601 · Mar 23, 2015
Provisional Application 61972722 · Mar 31, 2014
Related Publication 20220130402A1 · Apr 28, 2022
References Cited (116)
US 5657422A · Janiszewski et al. · 1997 [cited by applicant]
US 6680972B1 · Liljeryd et al. · 2004 [cited by applicant]
US 6928406B1 · Ehara et al. · 2005 [cited by applicant]
US 7873064B1 · Li et al. · 2011 [cited by applicant]
US 8560329B2 · Zhang et al. · 2013 [cited by applicant]
US 9177569B2 · Choo et al. · 2015 [cited by applicant]
US 9280982B1 · Kushner · 2016 [cited by applicant]
US 10269361B2 · Nagisetty et al. · 2019 [cited by applicant]
US 20060271373A1 · Khalil et al. · 2006 [cited by applicant]
US 20070206645A1 · Sundqvist et al. · 2007 [cited by applicant]
US 20070239462A1 · Makinen et al. · 2007 [cited by applicant]
US 20080027733A1 · Oshikiri et al. · 2008 [cited by applicant]
US 20080049795A1 · Lakaniemi · 2008 [cited by applicant]
US 20080147414A1 · Son et al. · 2008 [cited by applicant]
US 20080294429A1 · Su et al. · 2008 [cited by applicant]
US 20090024399A1 · Gartner et al. · 2009 [cited by applicant]
US 20090157413A1 · Oshikiri · 2009 [cited by examiner]
US 20090319259A1 · Liljeryd et al. · 2009 [cited by applicant]
US 20090326930A1 · Kawashima et al. · 2009 [cited by applicant]
US 20090326931A1 · Ragot et al. · 2009 [cited by applicant]
US 20100049511A1 · Ma et al. · 2010 [cited by applicant]
US 20100280833A1 · Yamanashi et al. · 2010 [cited by applicant]
US 20110035213A1 · Malenovsky et al. · 2011 [cited by applicant]
US 20110046947A1 · Vaillancourt et al. · 2011 [cited by applicant]
US 20110075832A1 · Tashiro · 2011 [cited by applicant]
US 20110125505A1 · Vaillancourt et al. · 2011 [cited by applicant]
US 20110196673A1 · Sharma et al. · 2011 [cited by applicant]
US 20110250859A1 · Gu · 2011 [cited by applicant]
US 20110307248A1 · Yamanashi et al. · 2011 [cited by applicant]
US 20120065965A1 · Choo et al. · 2012 [cited by applicant]
US 20120185256A1 · Virette et al. · 2012 [cited by applicant]
US 20120209604A1 · Sehlstedt · 2012 [cited by applicant]
US 20120271644A1 · Bessette et al. · 2012 [cited by applicant]
US 20120288117A1 · Kim et al. · 2012 [cited by applicant]
US 20130018660A1 · Qi et al. · 2013 [cited by applicant]
US 20130101028A1 · Fukui et al. · 2013 [cited by applicant]
US 20130117029A1 · Liu et al. · 2013 [cited by applicant]
US 20130144632A1 · Sung · 2013 [cited by applicant]
US 20130332177A1 · Helmrich et al. · 2013 [cited by applicant]
US 20130339023A1 · Liljeryd et al. · 2013 [cited by applicant]
US 20140149124A1 · Choo · 2014 [cited by examiner]
US 20140188465A1 · Choo et al. · 2014 [cited by applicant]
US 20140200901A1 · Kawashima · 2014 [cited by examiner]
US 20140257827A1 · Norvell et al. · 2014 [cited by applicant]
US 20160111103A1 · Nagisetty et al. · 2016 [cited by applicant]
AU 2014201331A1 · 2014 [cited by applicant]
CN 1296608A · 2001 [cited by applicant]
CN 1677492A · 2005 [cited by applicant]
CN 1950686A · 2007 [cited by applicant]
CN 101371295A · 2009 [cited by applicant]
CN 101364854B · 2011 [cited by applicant]
CN 102208188A · 2011 [cited by applicant]
CN 102223152A · 2011 [cited by applicant]
CN 102334159A · 2012 [cited by applicant]
CN 102800317A · 2012 [cited by applicant]
CN 103210443A · 2013 [cited by applicant]
CN 103650038A · 2014 [cited by applicant]
CN 105874534B · 2020 [cited by applicant]
EP 0424016A2 · 1991 [cited by applicant]
EP 0985328B1 · 2006 [cited by applicant]
EP 1850327A1 · 2007 [cited by applicant]
EP 1088302B1 · 2008 [cited by applicant]
EP 2107556A1 · 2009 [cited by applicant]
FR 2830970A1 · 2003 [cited by applicant]
JP 2001521648A · 2001 [cited by applicant]
JP 2008058727A · 2008 [cited by applicant]
JP 2010020251A · 2010 [cited by applicant]
JP 2011075728A · 2011 [cited by applicant]
JP 2014153832A · 2014 [cited by applicant]
RU 2441286C2 · 2012 [cited by applicant]
WO 9847313A2 · 1998 [cited by applicant]
WO 2000045379A3 · 2000 [cited by applicant]
WO 2005096273A1 · 2005 [cited by applicant]
WO 2005111568A1 · 2005 [cited by applicant]
WO 2011042464A1 · 2011 [cited by applicant]
WO 2011048094A1 · 2011 [cited by applicant]
WO 2012005209A1 · 2012 [cited by applicant]
WO 2012110415A1 · 2012 [cited by applicant]
WO 2012110448A1 · 2012 [cited by applicant]
WO 2013035257A1 · 2013 [cited by applicant]
WO 2014096279A1 · 2014 [cited by applicant]
G. Clark, S. Parker and S. Mitra, “A unified approach to time- and frequency-domain realization of FIR adaptive digital filters,” in IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 31, No. 5, pp. 107… [cited by applicant]
PART 1—Henrique S. Malvar, Signal Processing with Lapped Transforms, Computer Science Engineering, 1992 , Chapter 5—198 pages. PART 2—Henrique S. Malvar, Signal Processing with Lapped Transforms, Computer Science Engine… [cited by applicant]
ITU-T G.723.1—31 pagers. [cited by applicant]
J.D. Warren, et al., Analysis of the spectral envelope of sounds by the human brain, Neuroimage. Feb. 15, 2005;24(4):1052-7,, https://pubmed.ncbi.nlm.nih.gov/15670682/#:˜: text=Spectral%20envelope%20is%20the%20shape,of%… [cited by applicant]
Part 1—Kondoz, Digital Speech: Coding for Low bit Rate Communication Systems (John Wiley & Sons 2004)—223 pages. Part 2 —Kondoz, Digital Speech: Coding for Low bit Rate Communication Systems (John Wiley & Sons 2004)—224… [cited by applicant]
Lecomte et al., “An Improved Low Complexity AMR-WB+ Encoder using Neural Networks for Mode Selection” (AES 123rd Convention, New York, NY, USA, Oct. 5-8, 2007m Convention Paper 7294 section 2.1.2—11 pages. [cited by applicant]
Oh, H., et al., A Fast Quantization Loop Algorithm for MP3/AAC Encoders, AES 29th International Conference (2006)—5 pages. [cited by applicant]
Schnell et al., Proposed Core Experiment on AAC-ELD, Apr. 18, 2007—17 pages. [cited by applicant]
3GPP TR 26.952 V17.0.0 (Apr. 2022)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); Performance Characterization (Release 17)—176 pa… [cited by applicant]
3GPP TS 26.290 V2.0.0 (Sep. 2004)—3rd Generation Partnership Project; Technical Specification Group Service and System Aspects; Audio codec processing functions; Extended AMR Wideband codec; Transcoding functions (Relea… [cited by applicant]
3GPP TS 26.442 V14.0.0 (Mar. 2017)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); ANSI C code (fixed-point) (Release 14)—10 pages. [cited by applicant]
3GPP TS 26.443 V14.0.0 (Mar. 2017)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); ANSI C code (floating-point) (Release 14)—10 pag… [cited by applicant]
3GPP TS 26.445 V12.0.0 (Sep. 2014)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); Detailed Algorithmic Description (Release 12)—64… [cited by applicant]
3GPP TS 26.445 V14.0.0 (Mar. 2017)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); Detailed Algorithmic Description (Release 14)—67… [cited by applicant]
3GPP TS 26.445 V14.2.0 (Dec. 2017)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); Detailed Algorithmic Description (Release 14)—67… [cited by applicant]
3GPP TS 26.445 V16.2.0 (Dec. 2021)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); Detailed Algorithmic Description (Release 16)—67… [cited by applicant]
3GPP TS 26.445 V17.0.0 (Apr. 2022)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); Detailed Algorithmic Description (Release 17)—67… [cited by applicant]
3GPP TS 26.447 V14.0.0 (Mar. 2017)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); Error Concealment of Lost Packets (Release 14)—8… [cited by applicant]
3GPP TS 26.447 V14.2.0 (Jun. 2020)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); Error Concealment of Lost Packets (Release 14)—8… [cited by applicant]
3GPP TS 26.447 V16.0.0 (Mar. 2019)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Codec for Enhanced Voice Services (EVS); Error Concealment of Lost Packets (Release 16)—8… [cited by applicant]
Convolution theorem—Wikipedia—7 pages. [cited by applicant]
ETSI TS 126 290 V6.1.0 (Dec. 2004)—Universal Mobile Telecommunications System (UMTS); Audio codec processing functions; Extended Adaptive Multi-Rate—Wideband (AMR-WB+) codec; Transcoding functions (3GPP TS 26.290 versio… [cited by applicant]
Fraunhofer IIS: Tdoc S4-130345, Qualification Deliverables for the Fraunhofer IIS Candidate for EVS (including Technical Description and Report on Compliance to Design Constraints), TSG SA4#72bis meeting, Mar. 11-15, 20… [cited by applicant]
Fuchs et al., MDCT-Based Coder for Highly Adaptive Speech and Audio Coding, 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, Scotland, Aug. 24-28, 2009—5 pages. [cited by applicant]
Huan Hou and Weibei Dou, Real-time Audio Error Concealment Method Based on Sinusoidal Model, International Conference on audio Language and Image Processing, IEEE, Jul. 2008, Shanghai, P.R. China, DOI: 10.1109/ICALIP.20… [cited by applicant]
ITU-T G.722 (Jul. 2003)—72 pages. [cited by applicant]
ITU-T G.722.2 (Jan. 2002) of the Telecommunication Standardization Sector of the International Telecommunication Union (“G.722.2”), Annex A—16 pages. [cited by applicant]
Marina Bosi and Richard E. Goldberg, Introduction To Digital Audio Coding And Standards, Springer 2003—442 pages. [cited by applicant]
Ostergaard, J., et al., Real-time perceptual moving-horizon multiple-description audio coding, IEEE Transactions on Signal Processing, 4286 (2011)—14 pages. [cited by applicant]
Ravishankar, C., Hughes Network Systems, Germantown, MD. Speech coding. United States, https://doi.org/10.2172/325392—144 pages. [cited by applicant]
Schnell et al., Low Delay Filter banks for Enhanced Low Delay Audio Coding, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics Oct. 21, 2007—4 pages. [cited by applicant]
Virette, D., Low Delay Transform for High Quality Low Delay Audio Coding, Signal and Image Processing, (Université de Rennes 1, 2012), 40-41—197 pages. [cited by applicant]
ITU-T G.718 (Jun. 2008), Series G: Transmission Systems and Media, Digital Systems and Networks,, Frame error robust narrow-band and wideband embedded variable bit-rate coding of speech and audio from, 8-32 kbit/s Digit… [cited by applicant]
3GPP TS 26.403 V6.0.0 (Sep. 2004)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects;, General audio codec audio processing functions; Enhanced aacPlus general audio codec; Enc… [cited by applicant]
3GPP TS 26.290 V10.0.0 (Mar. 2011)—3rd Generation Partnership Project; Technical Specification Group Services and System Aspects;, Audio codec processing functions. Extended Adaptive Multi-Rate-, Wideband (AMR-WB+) code… [cited by applicant]