This mission starts automatically after you managed to get the definitive evidence against Mary Kelley in mission "Market Closing". You decide that the people she is imprisoning must be rescued.
DedSec disabled Mary Kelley's Golden Goose e-market, destroying her human trafficking ring and providing Kaitlin Lau with enough evidence to take to her contact in the Attorney General's office. But they realized that Mary still has control over the people at Sandstone Residence and is liable to kill them using the microchip.
Get to Sandstone Residence and stop Mary Kelley from silencing her 'slaves'.
Rewards:
The Sandstone Residence
London
Text To — Speech Khmer
# Initialize Tacotron 2 model model = Tacotron2(num_symbols=dataset.num_symbols)
Here's an example code snippet in Python using the Tacotron 2 model and the Khmer dataset:
# Train the model for epoch in range(100): for batch in dataloader: text, audio = batch text = text.to(device) audio = audio.to(device) loss = model(text, audio) loss.backward() optimizer.step() print(f'Epoch {epoch+1}, Loss: {loss.item()}') text to speech khmer
import os import numpy as np import torch from torch.utils.data import Dataset, DataLoader from tacotron2 import Tacotron2
# Evaluate the model model.eval() test_loss = 0 with torch.no_grad(): for batch in test_dataloader: text, audio = batch text = text.to(device) audio = audio.to(device) loss = model(text, audio) test_loss += loss.item() print(f'Test Loss: {test_loss / len(test_dataloader)}') Note that this is a highly simplified example and in practice, you will need to handle many more complexities such as data preprocessing, model customization, and hyperparameter tuning. text to speech khmer
# Create data loader dataloader = DataLoader(dataset, batch_size=32, shuffle=True)
# Load Khmer dataset dataset = KhmerDataset('path/to/khmer/dataset') text to speech khmer
The feature will be called "Khmer Voice Assistant" and will allow users to input Khmer text and receive an audio output of the text being read.