speech

Describe the bug

Streaming Datasets can't be pickled, so any interaction between them and multiprocessing results in a crash.

Steps to reproduce the bug

import transformers
from transformers import Trainer, AutoModelForCausalLM, TrainingArguments
import datasets

ds = datasets.load_dataset('oscar', "unshuffled_deduplicated_en", split='train', streaming=True).with_format("

🚀 The feature

Cache PitchShift Resample kernel to improve speed of this transform on second usage.

Motivation, pitch

In porting some augmentation code from librosa to torchaudio, I noticed that PitchShift() and Resample() are slower than librosa in CPU.

In the case of transforms.Resample(), this changes on second run as the kernel is cached. But PitchShift does no such cach

hi,
as you know, in SoLoud, the number of filters are limited
we should implement more like different reverbs, fir and irr filters, (these could be used to implement HRTF support), Chorus, One Poll, One Zero, Pole Zero, Two Pole, Two Zero, etc
a library exists called stk under zlib license which already implemented these maybe we can implement some of these out

Is your feature request related to a problem? Please describe.
I have seen many games but how about a coffe machine game? Oh yes !!
I love to drink coffee. But, I wonder how coffee is being made by the cafe's. My project is similar to that. For more picture clear, i have added the ss below.

Describe the solution you'd like
Sir, this is a BasicPythonScripts to implement coffee machine