[Docs] Translate audio_classification.md from English to Spanish
Author: weezymatt
Pull request: yes

# What does this PR do?

Translates  ```audio_classification.md``` from English to Spanish.
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#28936 


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

@stevhliu 

cc: @tadeodonegana @gisturiz 

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Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @eustlb
- graph models: @clefourrier

Library:

- flax: @gante and @Rocketknight1
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @zach-huggingface, @SunMarc and @qgallouedec
- chat templates: @Rocketknight1

Integrations:

- deepspeed: HF Trainer/Accelerate: @SunMarc @zach-huggingface
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber

Documentation: @stevhliu

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @Rocketknight1
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

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Comments:
@stevhliu Do you have a suggestion for finding Spanish readers? I cc'd the most active Spanish readers from previous translations but there hasn't been much activity the past year. 😄

Maybe @aaronjimv can help as he has done several excellent Spanish translations in the past!

Thanks for the tip! I'll might retag some folks if I haven't found a reviewer.

I also left a message on Discord with the [SomosNLP](https://somosnlp.org/) community asking Spanish speakers to help review the translation. 😄

Hello everyone, it's been a while. Greetings to all.

This is a good translation. I've made some minor corrections in the following lines:

> 23: ... incluye identificar la intención del hablante,
> 
> 43: ... para que puedas subir tu modelo y compartirlo con la comunidad.
> 
> 61: ... y asegúrate de que todo funcione antes de invertir ...
> 
> 83:... en esta guía nos enfocaremos en los campos ...
> 
> 102: `audio`: un `array` (arreglo) unidimensional de la señal de voz que se obtiene al cargar y volver a muestrear el archivo de audio.
> 
> 105: ... el nombre de la etiqueta a un número entero ...
> 
> 115: ... de la etiqueta a un nombre de etiqueta:
> 
> 124: ... para procesar la señal de audio:
> 
> 132: ...  tasa de muestreo de 8kHz ... lo que significa que tendrás que volver a muestrear el dataset a 16kHZ para poder usar el modelo Wav2Vec2 preentrenado:
> 
> 144: Ahora vamos a crear una función de preprocesamiento:
> 
> 146: ... volver a muestrear al archivo de audio.
> 
> 147: Comprueba si la frecuencia de muestreo del archivo de audio coincide con la frecuencia de muestreo de los datos de audio con los que se entrenó previamente el modelo.
> 
> 148: Establece una longitud de entrada máxima para agrupar entradas más largas sin truncarlas.
> 
> 212: ...junto con el modelo, el dataset, el tokenizer, el data collator y la función `compute_metrics`. 
> 
> [data collator se traduciria como 'recopilador de datos' pero pienso que es mejor dejarlo en ingles]
> 
> 262: ... Recuerda volver a muestrear la tasa ...

That would be all, thanks for continuing the translations.

Note for @weezymatt:
Lo único que te puedo recomendar es que después de realizar la traducción, leas el documento y trates de mantener la fluidez del español, no tiene que ser una traducción directa, si no una que se adecue al contexto, y que suene bien al leerlo. Todo lo demás esta bien👍


@aaronjimv Muchísimas gracias, agradezco tus recomendaciones. Ahora conozco áreas potenciales que pueden necesitar algo más. Y tiene sentido, la documentación
 que suene bien al leerlo es el mejor.

@stevhliu I've updated the docs with the corrections. Let me know if there's anything else pending! 

> @aaronjimv Muchísimas gracias, agradezco tus recomendaciones. Ahora conozco áreas potenciales que pueden necesitar algo más. Y tiene sentido, la documentación que suene bien al leerlo es el mejor.
> 
> @stevhliu I've updated the docs with the corrections. Let me know if there's anything else pending!

I'm very glad for your comments, thank you🤗!  This P.R. is done ✅🙌

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_39513). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.