MétaCan
Menu
Back to cohort
Record W2130323514 · doi:10.1109/icassp.2006.1659945

Resynchronization of the Adaptive Codebook in a Constrained celp Codec After a Frame Erasure

2006· article· en· W2130323514 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Data Compression Techniques
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCode-excited linear predictionCodebookErasureComputer scienceCodecSpeech codingEncoderFrame (networking)Speech recognitionLinear predictive codingAlgorithmTelecommunications

Abstract

fetched live from OpenAlex

The adaptive codebook used in CELP (code excited linear prediction) codecs to model the pitch excitation allows the attainment of a high quality of synthesized speech but introduces a strong inter-frame dependency and consequently causes error propagation in case of frame erasure. In a previous work we showed that the error propagation can be greatly reduced by constraining, at the encoder side, the innovative codebook to partially model the pitch excitation. In this paper we extend this work by exploiting, at the decoder side, the pitch-related information present in the innovative excitation to speed up the recovery of the decoder. The method consists in adequately shifting the last pitch pulse present within the corrupted adaptive codebook memory so that it is resynchronized with the excitation parameters of the frame that follows the erased one

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.820
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.211
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations6
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Data Compression TechniquesFrench-language works237,207