audio-course/pr_218/es/_toctree.yml

- title: Unidad 0. ¡Bienvenido al curso!
  sections:
  - local: chapter0/introduction
    title: Que esperar de este curso
  - local: chapter0/get_ready
    title: Prepárate
  - local: chapter0/community
    title: Únete a la comunidad

- title: Unidad 1. Trabajando con datos de audio
  sections:
  - local: chapter1/introduction
    title: ¿Qué aprenderás?
  - local: chapter1/audio_data
    title: Introducción a los datos de audio
  - local: chapter1/load_and_explore
    title: Cargar y Explorar un conjunto de datos
  - local: chapter1/preprocessing
    title: Preprocesamiento de datos de audio
  - local: chapter1/streaming
    title: Transmitiendo datos de audio
  - local: chapter1/quiz
    title: Quiz
    quiz: 1
  - local: chapter1/supplemental_reading
    title: Lecturas y recursos adicionales

- title: Unidad 2. A gentle introduction to audio applications
  sections:
  - local: chapter2/introduction
    title: Tour por la aplicaciones de audio
  - local: chapter2/audio_classification_pipeline
    title: Clasificación de audio usando una pipeline
  - local: chapter2/asr_pipeline
    title: Reconocimiento automático de la voz usando una pipeline
  - local: chapter2/hands_on
    title: Ejercicio práctico

#- title: Unidad 3. Transformer architectures for audio
#  sections:
#  - local: chapter3/introduction
#    title: Refresher on transformer models
#  - local: chapter3/ctc
#    title: CTC architectures
#  - local: chapter3/seq2seq
#    title: Seq2Seq architectures
#  - local: chapter3/classification
#    title: Audio classification architectures
#  - local: chapter3/quiz
#    title: Quiz
#    quiz: 3
#  - local: chapter3/supplemental_reading
#    title: Supplemental reading and resources

#- title: Unidad 4. Build a music genre classifier
#  sections:
#  - local: chapter4/introduction
#    title: What you'll learn and what you'll build
#  - local: chapter4/classification_models
#    title: Pre-trained models for audio classification
#  - local: chapter4/fine-tuning
#    title: Fine-tuning a model for music classification
#  - local: chapter4/demo
#    title: Build a demo with Gradio
#  - local: chapter4/hands_on
#    title: Hands-on exercise

#- title: Unidad 5. Transcribe a meeting recording
#  sections:
#  - local: chapter5/introduction
#    title: What you'll learn and what you'll build
#  - local: chapter5/choosing_dataset
#    title: Choosing a dataset
#  - local: chapter5/asr_models
#    title: Pre-trained models for automatic speech recognition
#  - local: chapter5/preprocessing_data
#    title: Loading and preprocessing data
#  - local: chapter5/evaluation
#    title: Evaluation metrics for ASR
#  - local: chapter5/fine-tuning
#    title: Fine-tuning the ASR model
#  - local: chapter5/speaker_diarization
#    title: Automatic speech recognition with speaker diarization
#  - local: chapter5/quiz
#    title: Quiz
#    quiz: 5
#  - local: chapter5/hands_on
#    title: Hands-on exercise
#  - local: chapter5/supplemental_reading
#    title: Supplemental reading and resources
#
#- title: Unidad 6. From text to speech
#  sections:
#  - local: chapter6/introduction
#    title: What you'll learn and what you'll build
#  - local: chapter6/overview
#    title: How to synthesize human speech from text?
#  - local: chapter6/choosing_dataset
#    title: Choosing a dataset
#  - local: chapter6/preprocessing
#    title: Loading and preprocessing data
#  - local: chapter6/pre-trained_models
#    title: Pre-trained models for text-to-speech
#  - local: chapter6/evaluation
#    title: Evaluation metrics for text-to-speech
#  - local: chapter6/fine-tuning
#    title: Fine-tuning SpeechT5
#  - local: chapter6/quiz
#    title: Quiz
#    quiz: 6
#  - local: chapter6/hands_on
#    title: Hands-on exercise
#  - local: chapter6/supplemental_reading
#    title: Supplemental reading and resources
#
#- title: Unidad 7. Audio to audio
#  sections:
#  - local: chapter7/introduction
#    title: What you'll learn and what you'll build
#  - local: chapter7/tasks
#    title: Examples of audio-to-audio tasks
#  - local: chapter7/choosing_dataset
#    title: Choosing a dataset
#  - local: chapter7/preprocessing
#    title: Loading and preprocessing data
#  - local: chapter7/evaluation
#    title: Evaluation metrics for audio-to-audio
#  - local: chapter7/fine-tuning
#    title: Fine-tuning the model
#  - local: chapter7/quiz
#    title: Quiz
#    quiz: 7
#  - local: chapter7/hands_on
#    title: Hands-on exercise
#  - local: chapter7/supplemental_reading
#    title: Supplemental reading and resources
#
#- title: Unidad 8. Finish line
#  sections:
#  - local: chapter8/introduction
#    title: Congratulations!
#  - local: chapter8/certification
#    title: Get your certification of completion
#  - local: chapter8/stay_in_touch
#    title: Stay in touch
#
#- title: Bonus unit. Diffusion models for audio
#  sections:
#  - local: chapter9/introduction
#    title: Introduction
#  - local: chapter9/music_generation
#    title: Music generation
#  - local: chapter9/riffusion
#    title: Riffusion
#  - local: chapter9/audioldm
#    title: AudioLDM
#  - local: chapter9/dance_diffusion
#    title: Dance Diffusion

#- title: Course Events
#  sections:
#  - local: events/introduction
#    title: Live sessions and workshops