SpeechFlow vs Canopy Labs

Comparing the features of SpeechFlow to Canopy Labs

Feature
SpeechFlow
Canopy Labs

Capability Features

API Access
Audio to Text
Demo Availability
Emotion Tags
normalslowcryingsleepysighchuckle
Guided Emotion and Intonation
Handles Disfluencies
High Accuracy Model
Top accuracy
Input Streaming for Lower Latency
Llama Architecture
Llama
LLM-based Customizability
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
Multilingual Support
14
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Realtime Streaming
Sample Finetuning Scripts
Sliding Window Detokenizer
Speech to Text
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Text to Speech
Training Data Volume
100k+ hours of speech, billions of text tokens
Zero-Shot Voice Cloning

Integration Features

Baseten 1-Click Deployment
GitHub Repository Access
Google Colab Notebook
Hugging Face Model Access
LLama Ecosystem Support
Python Package for Streaming

Limitation Features

English Language Only
No API Mentioned
No Explicit Pricing Details
No Mention of File Format Support