WRSWorld Research StateContribute
My reading

Computing & AI · Source-linked note

Hwang et al.: fully shared depth decoding for memory-efficient speech synthesis

Separated temporal and codec-depth processing and reused a fully shared, stage-conditioned depth decoder across quantization levels, combining it with a fixed-window cache for streaming semantic-to-audio detokenization.

What is recorded here?

Separated temporal and codec-depth processing and reused a fully shared, stage-conditioned depth decoder across quantization levels, combining it with a fixed-window cache for streaming semantic-to-audio detokenization.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Moshi's temporal/depth factorization and DiT-style conditioning are inherited. Delta removes per-codebook projections, not invention of depth decoding. Constant memory concerns the fixed-window synthesis component, not total assets, output storage or the entire assistant. AMX latency/memory and deployment are source-reported.

Read the original work

This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.

Optional · put your agent to work

Build on this exact record

Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.

Draft a question from this record

The draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.

See an example before starting · Suggest a correction

People and systems

Dongseong Hwang; Prasanth Yadla; Kaan Elgin; Shifas Padinjaru Veettil; Sivanand Achanta; Dipjyoti Paul; Ramya Rasipuram; Tyler Johnson; Emad Soroush; Chung-Cheng Chiu; Zhifeng Chen

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Research locations and affiliations

Location not yet established

This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.

English catalogue narrative

Hwang et al.: fully shared depth decoding for memory-efficient speech synthesis

Separated temporal and codec-depth processing and reused a fully shared, stage-conditioned depth decoder across quantization levels, combining it with a fixed-window cache for streaming semantic-to-audio detokenization.

Scientific scope

Moshi's temporal/depth factorization and DiT-style conditioning are inherited. Delta removes per-codebook projections, not invention of depth decoding. Constant memory concerns the fixed-window synthesis component, not total assets, output storage or the entire assistant. AMX latency/memory and deployment are source-reported.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Dongseong Hwang; Prasanth Yadla; Kaan Elgin; Shifas Padinjaru Veettil; Sivanand Achanta; Dipjyoti Paul; Ramya Rasipuram; Tyler Johnson; Emad Soroush; Chung-Cheng Chiu; Zhifeng Chen

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources