Comments (2)
albertz
commented on May 24, 2024
1
Yes.
Are you asking on a theoretical basis? I think I have seen some work related to this, but don't remember currently. Also, not sure if this is the best place to ask. Maybe Reddit ML or so is better.
Or Are you asking about RETURNN in particular, and you want to implement some specific method? Can you link the paper which you want to implement?
from returnn-experiments.
MartinLichtblau
commented on May 24, 2024
Indeed, Reddit ML seems to be more fitting for such a general question. I thought you might have tried it yourself, judging from your paper Improved training of end-to-end attention models for speech recognition.
I just wonder why text and speech are kept distinct in AI and NLP, although humans start learning the semantics of language purely through speech.
from returnn-experiments.
Related Issues (20)
- local attention with unidirectional lstm not converging HOT 5
- Implement a unidirectional variant of local attention HOT 10
- Loading a saved Returnn model from its .meta file HOT 16
- query regarding LM data preprocessing HOT 2
- Reusing parameters inside rec layer HOT 5
- Training Configuration for TEDLIUMv2 HOT 3
- specAugment policy and schedules HOT 3
- Question about 2020-rnn-transducer HOT 16
- 2018-asr-attention/librispeech/attention/exp3.ctc.lm.config: target 'bpe' unknown HOT 3
- Question about 2018-asr-librispeech dev = get_dataset("dev", subset=3000) HOT 2
- loss nan and cost nan while running my own corpus using librispeech sets HOT 10
- Hierarchical layer name not captured correctly
- Problem with retrieving source layer from a hierarchical definition
- Multi Stage Training
- Questions on librispeech transformer lm HOT 10
- Transducer error in GetFilteredScoreOp HOT 4
- Big files in repo HOT 5
- Git commit/push rule to not allow big files HOT 3
- Could you please provide a script that could run lsh-attention for translation? HOT 4
- Assert Error when running 2022-lsh-attention HOT 7
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from returnn-experiments.