Subindo arquivos

README.md

@@ -1,13 +1,75 @@
 ---
-title: Speech Accent Es Classifier
-emoji: 💻
-colorFrom: red
-colorTo: green
+title: Speech-accent-es-classifier
+emoji: 🎙️🤖🇪🇸
+colorFrom: blue
+colorTo: purple
 sdk: gradio
-sdk_version: 4.40.0
+sdk_version: "4.12.0"
 app_file: app.py
 pinned: false
-license: ecl-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Clasificador de Sotaques en Español
+
+Este proyecto es un clasificador de acentos que distingue entre el español y otros acentos.
+
+## Resumen del Proyecto
+
+Esta aplicación utiliza un modelo entrenado para clasificar acentos de habla en dos categorías:
+1. Español
+2. Otro
+
+El modelo se basa en el trabajo del autor y utiliza la parte en español del conjunto de datos Common Voice (versión 11.0) de la Fundación Mozilla.
+
+## Conjunto de Datos
+
+El proyecto utiliza el subconjunto en español del conjunto de datos Common Voice:
+- Conjunto de datos: "mozilla-foundation/common_voice_11_0", "es"
+
+Acentos españoles incluidos en el conjunto de datos:
+- España
+- México
+- Colombia
+- Argentina
+- Chile
+- Perú
+- Venezuela
+- Cuba
+- República Dominicana
+- Uruguay
+- Paraguay
+- Bolivia
+- Ecuador
+- Guatemala
+- Honduras
+- El Salvador
+- Nicaragua
+- Costa Rica
+- Panamá
+- Puerto Rico
+
+## Detalles Técnicos
+
+El proyecto utiliza el siguiente modelo y procesador:
+- Modelo: "facebook/wav2vec2-base-960h"
+- Procesador: Wav2Vec2Processor.from_pretrained
+
+## Licencia
+
+ecl
+
+## Información del Desarrollador
+
+Desarrollado por Ramon Mayor Martins, Ph.D. (2024)
+- Correo electrónico: [email protected]
+- Página web: https://rmayormartins.github.io/
+- Twitter: @rmayormartins
+- GitHub: https://github.com/rmayormartins
+
+## Agradecimientos
+
+Agradecimientos especiales al Instituto Federal de Santa Catarina (Instituto Federal de Santa Catarina) IFSC-São José-Brasil.
+
+## Contacto
+
+Para cualquier consulta o sugerencia, por favor contacte al desarrollador usando la información proporcionada arriba.

app.py

@@ -0,0 +1,64 @@
+import gradio as gr
+import torch
+import numpy as np
+from transformers import Wav2Vec2Processor, Wav2Vec2ForSequenceClassification
+
+# 
+model_name = "results"
+processor = Wav2Vec2Processor.from_pretrained(model_name)
+model = Wav2Vec2ForSequenceClassification.from_pretrained(model_name)
+
+def classify_accent(audio):
+    if audio is None:
+        return "Error: No se recibió audio"
+
+    # Entrada
+    print(f"Tipo de entrada de audio: {type(audio)}")
+
+    # O áudio formato
+    print(f"Entrada de audio recibida: {audio}")
+
+    try:
+        audio_array = audio[1]  # 
+        sample_rate = audio[0]  # 
+
+        print(f"Forma del audio: {audio_array.shape}, Frecuencia de muestreo: {sample_rate}")
+
+        # 
+        audio_array = audio_array.astype(np.float32)
+
+        # 
+        if sample_rate != 16000:
+            import librosa
+            audio_array = librosa.resample(audio_array, orig_sr=sample_rate, target_sr=16000)
+
+        input_values = processor(audio_array, return_tensors="pt", sampling_rate=16000).input_values
+
+        # Infer
+        with torch.no_grad():
+            logits = model(input_values).logits
+        predicted_ids = torch.argmax(logits, dim=-1).item()
+
+        # 
+        labels = ["Español", "Otro"]
+        return labels[predicted_ids]
+
+    except Exception as e:
+        return f"Error al procesar el audio: {str(e)}"
+
+# 
+description_html = """
+<p>Prueba con grabación o cargando un archivo de audio. Para probar, recomiendo una palabra.</p>
+<p>Ramon Mayor Martins, Ph.D.: <a href="https://rmayormartins.github.io/" target="_blank">Website</a> | <a href="https://huggingface.co/rmayormartins" target="_blank">Spaces</a></p>
+"""
+
+# 
+interface = gr.Interface(
+    fn=classify_accent,
+    inputs=gr.Audio(type="numpy"),
+    outputs="label",
+    title="Clasificador de Sotaques (Español vs Otro)",
+    description=description_html
+)
+
+interface.launch()

requirements.txt

@@ -0,0 +1,5 @@
+gradio==4.29.0
+torch==2.0.1
+numpy==1.23.5
+transformers==4.24.0
+librosa==0.9.2

results/config.json

@@ -0,0 +1,110 @@
+{
+  "_name_or_path": "facebook/wav2vec2-base-960h",
+  "activation_dropout": 0.1,
+  "adapter_attn_dim": null,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 256,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": false,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "sum",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": false,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 12,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 12,
+  "num_negatives": 100,
+  "output_hidden_size": 768,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 256,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.4",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}

results/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6632eb608edacf1e3977b987719741db6567b25d68d7e94a698090c1a05e4ca0
+size 378302360

results/preprocessor_config.json

@@ -0,0 +1,10 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "Wav2Vec2Processor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

results/special_tokens_map.json

@@ -0,0 +1,6 @@
+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

results/tokenizer_config.json

@@ -0,0 +1,50 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": false,
+  "do_normalize": true,
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "processor_class": "Wav2Vec2Processor",
+  "replace_word_delimiter_char": " ",
+  "return_attention_mask": false,
+  "target_lang": null,
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "unk_token": "<unk>",
+  "word_delimiter_token": "|"
+}

results/vocab.json

@@ -0,0 +1,34 @@
+{
+  "'": 27,
+  "</s>": 2,
+  "<pad>": 0,
+  "<s>": 1,
+  "<unk>": 3,
+  "A": 7,
+  "B": 24,
+  "C": 19,
+  "D": 14,
+  "E": 5,
+  "F": 20,
+  "G": 21,
+  "H": 11,
+  "I": 10,
+  "J": 29,
+  "K": 26,
+  "L": 15,
+  "M": 17,
+  "N": 9,
+  "O": 8,
+  "P": 23,
+  "Q": 30,
+  "R": 13,
+  "S": 12,
+  "T": 6,
+  "U": 16,
+  "V": 25,
+  "W": 18,
+  "X": 28,
+  "Y": 22,
+  "Z": 31,
+  "|": 4
+}