Amharic Voice Command AI

@tarikum1

Dear Client, ​I am a native Amharic speaker with extensive, hands-on experience in Amharic speech data collection, precise voice recording, and UTF-8 audio transcription. I can help you build and pre-process a clean, high-quality Amharic voice command dataset for your speech-recognition system. ​How I can assist with your project: ​Clean Data Collection & Recording: I can record clear Amharic voice command clips across diverse acoustic environments and varied speakers. ​Accurate UTF-8 Labeling: Every audio clip will be accurately transcribed in UTF-8 Amharic text to ensure clean training inputs. ​Audio Pre-processing: I will format audio files according to your exact specifications (16\text{ kHz}, mono, noise-reduced) and organize them into balanced train/validation/test splits. ​Reliable Delivery: I pay close attention to audio quality and guidelines to help you meet your target metrics (\le 10\% WER). ​As a native speaker based in Ethiopia, I bring native accuracy to Amharic linguistic details and command phrasing. I am ready to start immediately and commit 40 hours per week to complete this project efficiently. ​Looking forward to working with you! ​Best regards, Tariku Mamo

@fasilw3

Hello! I am a native Amharic speaker with a strong academic background and practical experience in data processing, voice transcription, and AI data collection. I am very interested in this Amharic Voice Command project and can ensure high-accuracy, clean, and well-structured results following all your guidelines. I am ready to start immediately and deliver quality work on time. Let's discuss further!

@derejeb24

Hi there, I am a Software Engineering graduate with a strong foundation in Python, machine learning concepts, and audio processing. While I am early in my professional career, I have extensive academic experience building end-to-end AI projects, handling datasets, and writing clean, documented code. I understand the complexity of this Amharic speech-recognition project, especially the challenges of low-resource languages. Here is my structured plan to help you achieve your goals: 1. Data Collection & Labeling: I will help organize the collection of diverse Amharic voice commands and strictly label them in UTF-8 Amharic text. I will ensure the audio is standardized to 16kHz mono. 2. Model Fine-Tuning: I will research and experiment with pre-trained models like Wav2Vec 2.0 or Whisper, focusing on fine-tuning them specifically for your command list to achieve the <10% Word Error Rate. 3. Optimization for On-Device Use: I will use quantization and pruning techniques to compress the model so it runs under 500ms latency on an Android device and standard PCs. 4. Clean Delivery: I will provide all training scripts, configuration files, and a clear README file in a Git repository so you can easily reproduce the work. I am a fast learner, highly responsive, and dedicated to delivering quality work on time. I am eager to take on this challenge and help you build a reliable Amharic voice AI. Looking forward to collaborating with you!

@ayum147

Hello, Your project caught my attention because accurate Amharic speech recognition requires understanding natural Ethiopian Amharic pronunciation, accents, and everyday speech patterns. I am a native Amharic speaker and can help with testing and evaluating short Amharic voice commands, identifying recognition errors, and providing accurate feedback to improve the system. I can carefully follow your guidelines and deliver consistent results. I am also comfortable working with mobile-based tasks and audio recordings. If needed, I can provide sample recordings or complete a small test task first so you can evaluate the quality of my work. Could you please tell me approximately how many voice commands or hours of recordings you need processed? Thank you.